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Browse files- Dockerfile +60 -0
- index.html +529 -0
- requirements.txt +33 -0
Dockerfile
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# ==== GPU base (CUDA 12.1 + cuDNN) ====
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FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive \
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PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1 \
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HF_HOME=/root/.cache/huggingface \
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TRANSFORMERS_CACHE=/root/.cache/huggingface/transformers \
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GRADIO_SERVER_NAME=0.0.0.0 \
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GRADIO_SERVER_PORT=8080 \
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DISPLAY=:99
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# ---- System deps (ffmpeg + headless GL/X) ----
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3 python3-pip python3-venv \
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git git-lfs \
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ffmpeg \
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libgl1 \
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libgl1-mesa-dri \
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libglib2.0-0 \
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xvfb \
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&& git lfs install \
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&& rm -rf /var/lib/apt/lists/*
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# ---- Workdir & copy requirements first (cache-friendly) ----
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WORKDIR /app
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COPY requirements.txt /app/requirements.txt
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# ---- Python deps (Torch CUDA 12.1 first) ----
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RUN python3 -m pip install --upgrade pip \
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&& python3 -m pip install --extra-index-url https://download.pytorch.org/whl/cu121 \
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torch torchvision torchaudio \
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&& python3 -m pip install -r requirements.txt \
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&& python3 -m pip install huggingface_hub imageio-ffmpeg
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# ---- App code ----
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# Expect: gradio_app.py (updated), image_to_video.py, demo/, etc.
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COPY . /app
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# ---- Ports & default envs ----
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EXPOSE 8080
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ENV DEVICE=cuda \
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SAVE_FPS=16 \
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RESULT_DIR=/app/results \
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MODEL_META_PATH=demo/models.json \
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EXAMPLE_META_PATH=demo/examples.json \
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CAMERA_POSE_META_PATH=demo/camera_poses.json \
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DEPTH_MODEL_PATH=pretrained/Metric3D/metric_depth_vit_large_800k.pth \
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CAPTION_MODEL_PATH=pretrained/Qwen2.5-VL-7B-Instruct
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# Optional (set at runtime to auto-download via gradio_app.py):
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# ENV REPO_COGVIDEOX=THUDM/CogVideoX1.5-5B-I2V
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# ENV REPO_METRIC3D=JUGGHM/Metric3D
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# ENV REPO_QWEN_VL=Qwen/Qwen2.5-VL-7B-Instruct
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# ENV REPO_REALCAM=MuteApo/RealCam-I2V
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# ENV HF_TOKEN= # pass at runtime; don't bake secrets
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# ---- Launch under Xvfb to satisfy headless GL ----
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CMD ["bash", "-lc", "xvfb-run -s '-screen 0 1280x720x24' python3 finetune/gradio_app.py"]
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index.html
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
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<!-- Replace the content tag with appropriate information -->
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<meta name="description"
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content="RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control">
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<meta property="og:title"
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content="RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control" />
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<meta property="og:description"
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content="RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control" />
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<!-- Keywords for your paper to be indexed by-->
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<meta name="keywords" content="RealCam-I2V, Complex Camera Control, Image-to-Video Generation">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control</title>
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<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro" rel="stylesheet">
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<link href="https://fonts.googleapis.com/css2?family=Playfair+Display:ital,wght@1,400&display=swap"
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rel="stylesheet">
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<link rel="stylesheet" href="static/css/bulma.min.css">
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<link rel="stylesheet" href="static/css/bulma-carousel.min.css">
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<link rel="stylesheet" href="static/css/bulma-slider.min.css">
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<link rel="stylesheet" href="static/css/fontawesome.all.min.css">
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
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<link rel="stylesheet" href="static/css/index.css">
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/dreampulse/computer-modern-web-font@master/fonts.css">
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<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
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<script src="https://documentcloud.adobe.com/view-sdk/main.js"></script>
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<script defer src="static/js/fontawesome.all.min.js"></script>
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35 |
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<script src="static/js/bulma-carousel.min.js"></script>
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<script src="static/js/bulma-slider.min.js"></script>
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<script src="static/js/index.js"></script>
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38 |
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|
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<script type="text/javascript" async
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src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_SVG"></script>
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<script type="text/x-mathjax-config">
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MathJax.Hub.Config({
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tex2jax: {
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inlineMath: [['$','$'], ['\\(','\\)']]
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}
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});
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</script>
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<style>
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.video-container {
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display: flex;
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justify-content: center;
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gap: 0px;
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}
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.italic {
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font-family: 'Playfair Display';
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font-style: italic;
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}
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</style>
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</head>
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<body>
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<!-- title and author -->
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65 |
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<section class="hero">
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66 |
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<div class="hero-body">
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67 |
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<div class="container is-max-desktop">
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68 |
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<div class="columns is-centered">
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<div class="column has-text-centered">
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<h1 class="title is-2 publication-title">
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RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control
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</h1>
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<div class="is-size-5 publication-authors">
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<span class="author-block">Teng Li<sup>1,2*</sup>,</span>
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<span class="author-block">Guangcong Zheng<sup>1,2*</sup>,</span>
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<span class="author-block">Rui Jiang<sup>1,2</sup>,</span>
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78 |
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<span class="author-block">Shuigen Zhan<sup>1</sup>,</span>
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79 |
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<span class="author-block">Tao Wu<sup>1</sup>,</span>
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80 |
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<span class="author-block">Yehao Lu<sup>1</sup>,</span>
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<span class="author-block">Yining Lin<sup>3</sup>,</span>
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<br>
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<span class="author-block">Chuanyun Deng<sup>2</sup>,</span>
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<span class="author-block">Yepan Xiong<sup>2</sup>,</span>
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85 |
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<span class="author-block">Min Chen<sup>2</sup>,</span>
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86 |
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<span class="author-block">Lin Cheng<sup>2</sup>,</span>
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87 |
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<span class="author-block">Xi Li<sup>1✉</sup></span>
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88 |
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</div>
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89 |
+
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<div class="is-size-5 publication-authors">
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91 |
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<span class="author-block"><sup>1</sup>Zhejiang University,</span>
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92 |
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<span class="author-block"><sup>2</sup>Huawei,</span>
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93 |
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<span class="author-block"><sup>3</sup>Supremind</span>
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94 |
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<br>
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95 |
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<span class="author-block">ICCV 2025</span>
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96 |
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</div>
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97 |
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<div class="column has-text-centered">
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99 |
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<div class="publication-links">
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100 |
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<span class="link-block">
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101 |
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<a href="https://arxiv.org/pdf/2502.10059.pdf" target="_blank"
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102 |
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class="external-link button is-normal is-rounded is-dark">
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103 |
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<span class="icon">
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104 |
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<i class="fas fa-file-pdf"></i>
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105 |
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</span>
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106 |
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<span>Paper</span>
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107 |
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</a>
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108 |
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</span>
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109 |
+
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110 |
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<span class="link-block">
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111 |
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<a href="https://arxiv.org/abs/2502.10059" target="_blank"
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112 |
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class="external-link button is-normal is-rounded is-dark">
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113 |
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<span class="icon">
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114 |
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<i class="ai ai-arxiv"></i>
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115 |
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</span>
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116 |
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<span>arXiv</span>
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117 |
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</a>
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118 |
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</span>
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119 |
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<span class="link-block">
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121 |
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<a href="https://github.com/ZGCTroy/RealCam-I2V" target="_blank"
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122 |
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class="external-link button is-normal is-rounded is-dark">
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123 |
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<span class="icon">
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124 |
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<i class="fab fa-github"></i>
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125 |
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</span>
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126 |
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<span>Code</span>
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127 |
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</a>
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128 |
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</span>
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129 |
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<span class="link-block">
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131 |
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<a href="https://github.com/ZGCTroy/CamI2V" target="_blank"
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132 |
+
class="external-link button is-normal is-rounded is-dark">
|
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+
<span class="icon">
|
134 |
+
<i class="fab fa-github"></i>
|
135 |
+
</span>
|
136 |
+
<span>CamI2V</span>
|
137 |
+
</a>
|
138 |
+
</span>
|
139 |
+
</div>
|
140 |
+
</div>
|
141 |
+
</div>
|
142 |
+
</div>
|
143 |
+
</div>
|
144 |
+
</div>
|
145 |
+
</section>
|
146 |
+
|
147 |
+
<!-- abstract -->
|
148 |
+
<section class="section hero is-light">
|
149 |
+
<div class="container is-max-desktop">
|
150 |
+
<div class="columns is-centered has-text-centered">
|
151 |
+
<div class="column is-four-fifths">
|
152 |
+
<h2 class="title is-3">Abstract</h2>
|
153 |
+
<div class="content has-text-justified">
|
154 |
+
<p>
|
155 |
+
Recent advancements in camera-trajectory-guided image-to-video generation offer higher
|
156 |
+
precision and better support for complex camera control compared to text-based approaches.
|
157 |
+
However, they also introduce significant usability challenges, as users often struggle to
|
158 |
+
provide precise camera parameters when working with arbitrary real-world images without
|
159 |
+
knowledge of their depth nor scene scale.
|
160 |
+
To address these real-world application issues, we propose RealCam-I2V, a novel
|
161 |
+
diffusion-based video generation framework that integrates monocular metric depth estimation
|
162 |
+
to establish 3D scene reconstruction in a preprocessing step.
|
163 |
+
During training, the reconstructed 3D scene enables scaling camera parameters from relative
|
164 |
+
to metric scales, ensuring compatibility and scale consistency across diverse real-world
|
165 |
+
images.
|
166 |
+
In inference, RealCam-I2V offers an intuitive interface where users can precisely draw
|
167 |
+
camera trajectories by dragging within the 3D scene.
|
168 |
+
To further enhance precise camera control and scene consistency, we propose
|
169 |
+
scene-constrained noise shaping, which shapes high-level noise and also allows the framework
|
170 |
+
to maintain dynamic and coherent video generation in lower noise stages.
|
171 |
+
RealCam-I2V achieves significant improvements in controllability and video quality on the
|
172 |
+
RealEstate10K and out-of-domain images. We further enables applications like
|
173 |
+
camera-controlled looping video generation and generative frame interpolation.
|
174 |
+
</p>
|
175 |
+
</div>
|
176 |
+
</div>
|
177 |
+
</div>
|
178 |
+
</div>
|
179 |
+
</section>
|
180 |
+
|
181 |
+
<section class="section hero">
|
182 |
+
<div class="container has-text-centered">
|
183 |
+
<h2 class="title is-3">Demo</h2>
|
184 |
+
|
185 |
+
<div class="video-container">
|
186 |
+
<div>
|
187 |
+
<video autoplay controls muted loop width="80%">
|
188 |
+
<source src="static/videos/demo/4d_demo.mp4" type="video/mp4" />
|
189 |
+
</video>
|
190 |
+
</div>
|
191 |
+
</div>
|
192 |
+
<h2 class="subtitle has-text-centered italic">
|
193 |
+
4D Visualization
|
194 |
+
</h2>
|
195 |
+
|
196 |
+
<br>
|
197 |
+
|
198 |
+
<div class="video-container">
|
199 |
+
<div>
|
200 |
+
<video autoplay controls muted loop>
|
201 |
+
<source src="static/videos/cogvideo1.5/73c3266a-d3e1-41c9-9691-729478a8bf77.mp4"
|
202 |
+
type="video/mp4" />
|
203 |
+
</video>
|
204 |
+
</div>
|
205 |
+
|
206 |
+
<div>
|
207 |
+
<video autoplay controls muted loop>
|
208 |
+
<source src="static/videos/cogvideo1.5/79131dea-ca85-49df-b68b-cdb208f164c7.mp4"
|
209 |
+
type="video/mp4" />
|
210 |
+
</video>
|
211 |
+
</div>
|
212 |
+
|
213 |
+
<div>
|
214 |
+
<video autoplay controls muted loop>
|
215 |
+
<source src="static/videos/cogvideo1.5/b17050b5-3ed8-44ae-94a4-ec939c57b41f.mp4"
|
216 |
+
type="video/mp4" />
|
217 |
+
</video>
|
218 |
+
</div>
|
219 |
+
|
220 |
+
<div>
|
221 |
+
<video autoplay controls muted loop>
|
222 |
+
<source src="static/videos/cogvideo1.5/8ab67ba3-8300-4b82-98b7-8e28403cf6f7.mp4"
|
223 |
+
type="video/mp4" />
|
224 |
+
</video>
|
225 |
+
</div>
|
226 |
+
</div>
|
227 |
+
<h2 class="subtitle has-text-centered italic">
|
228 |
+
Aerial View
|
229 |
+
</h2>
|
230 |
+
|
231 |
+
<br>
|
232 |
+
|
233 |
+
<div class="video-container">
|
234 |
+
<div>
|
235 |
+
<video autoplay controls muted loop>
|
236 |
+
<source src="static/videos/cogvideo1.5/3f962cd6-fbf4-4b8a-b107-1468931c80f4.mp4"
|
237 |
+
type="video/mp4" />
|
238 |
+
</video>
|
239 |
+
</div>
|
240 |
+
|
241 |
+
<div>
|
242 |
+
<video autoplay controls muted loop>
|
243 |
+
<source src="static/videos/cogvideo1.5/d4db16a8-3f82-43b3-8432-cc8df007f10c.mp4"
|
244 |
+
type="video/mp4" />
|
245 |
+
</video>
|
246 |
+
</div>
|
247 |
+
|
248 |
+
<div>
|
249 |
+
<video autoplay controls muted loop>
|
250 |
+
<source src="static/videos/cogvideo1.5/34614b89-431d-4e31-8d82-89a0f082aaed.mp4"
|
251 |
+
type="video/mp4" />
|
252 |
+
</video>
|
253 |
+
</div>
|
254 |
+
|
255 |
+
<div>
|
256 |
+
<video autoplay controls muted loop>
|
257 |
+
<source src="static/videos/cogvideo1.5/4f0b8b62-a278-4b0e-8457-b6e8b099de59.mp4"
|
258 |
+
type="video/mp4" />
|
259 |
+
</video>
|
260 |
+
</div>
|
261 |
+
</div>
|
262 |
+
<h2 class="subtitle has-text-centered italic">
|
263 |
+
Urban Exploration
|
264 |
+
</h2>
|
265 |
+
|
266 |
+
<br>
|
267 |
+
|
268 |
+
<div class="video-container">
|
269 |
+
<div>
|
270 |
+
<video autoplay controls muted loop>
|
271 |
+
<source src="static/videos/cogvideo1.5/f8180809-8e91-4ef8-b19b-9d42e99f5e00.mp4"
|
272 |
+
type="video/mp4" />
|
273 |
+
</video>
|
274 |
+
</div>
|
275 |
+
|
276 |
+
<div>
|
277 |
+
<video autoplay controls muted loop>
|
278 |
+
<source src="static/videos/cogvideo1.5/6c23cfd0-9618-4edd-9003-28b6b92c4196.mp4"
|
279 |
+
type="video/mp4" />
|
280 |
+
</video>
|
281 |
+
</div>
|
282 |
+
|
283 |
+
<div>
|
284 |
+
<video autoplay controls muted loop>
|
285 |
+
<source src="static/videos/cogvideo1.5/37c7abfa-c442-4df5-ace5-d2a2fa1c23aa.mp4"
|
286 |
+
type="video/mp4" />
|
287 |
+
</video>
|
288 |
+
</div>
|
289 |
+
|
290 |
+
<div>
|
291 |
+
<video autoplay controls muted loop>
|
292 |
+
<source src="static/videos/cogvideo1.5/e304abe7-3e5a-4929-9c0d-0dd8fec78b48.mp4"
|
293 |
+
type="video/mp4" />
|
294 |
+
</video>
|
295 |
+
</div>
|
296 |
+
</div>
|
297 |
+
<h2 class="subtitle has-text-centered italic">
|
298 |
+
FPV & Sports
|
299 |
+
</h2>
|
300 |
+
|
301 |
+
<br>
|
302 |
+
|
303 |
+
<div class="video-container">
|
304 |
+
<div>
|
305 |
+
<video autoplay controls muted loop>
|
306 |
+
<source src="static/videos/dynamic/cogvideox_controlnetxs_c52592a0.mp4" type="video/mp4" />
|
307 |
+
</video>
|
308 |
+
</div>
|
309 |
+
|
310 |
+
<div>
|
311 |
+
<video autoplay controls muted loop>
|
312 |
+
<source src="static/videos/dynamic/cogvideox_controlnetxs_19c3e433.mp4" type="video/mp4" />
|
313 |
+
</video>
|
314 |
+
</div>
|
315 |
+
|
316 |
+
<div>
|
317 |
+
<video autoplay controls muted loop>
|
318 |
+
<source src="static/videos/dynamic/cogvideox_controlnetxs_43d1ce7d.mp4" type="video/mp4" />
|
319 |
+
</video>
|
320 |
+
</div>
|
321 |
+
|
322 |
+
<div>
|
323 |
+
<video autoplay controls muted loop>
|
324 |
+
<source src="static/videos/dynamic/cogvideox_controlnetxs_183e7ba2.mp4" type="video/mp4" />
|
325 |
+
</video>
|
326 |
+
</div>
|
327 |
+
</div>
|
328 |
+
<h2 class="subtitle has-text-centered italic">
|
329 |
+
Complex Trajectories & Scene Dynamics
|
330 |
+
</h2>
|
331 |
+
|
332 |
+
<br>
|
333 |
+
|
334 |
+
<div class="video-container">
|
335 |
+
<div>
|
336 |
+
<video autoplay controls muted loop width="60%">
|
337 |
+
<source src="static/videos/demo/cogvideox.mp4" type="video/mp4" />
|
338 |
+
</video>
|
339 |
+
</div>
|
340 |
+
</div>
|
341 |
+
<h2 class="subtitle has-text-centered italic">
|
342 |
+
Various Domains
|
343 |
+
</h2>
|
344 |
+
|
345 |
+
<br>
|
346 |
+
|
347 |
+
<div class="video-container">
|
348 |
+
<div>
|
349 |
+
<video autoplay controls muted loop>
|
350 |
+
<source src="static/videos/various_types/cartoon.mp4" type="video/mp4" />
|
351 |
+
</video>
|
352 |
+
<h2 class="subtitle has-text-centered italic">
|
353 |
+
Cartoon
|
354 |
+
</h2>
|
355 |
+
</div>
|
356 |
+
|
357 |
+
<div>
|
358 |
+
<video autoplay controls muted loop>
|
359 |
+
<source src="static/videos/various_types/food.mp4" type="video/mp4" />
|
360 |
+
</video>
|
361 |
+
<h2 class="subtitle has-text-centered italic">
|
362 |
+
Food
|
363 |
+
</h2>
|
364 |
+
</div>
|
365 |
+
</div>
|
366 |
+
|
367 |
+
<br>
|
368 |
+
|
369 |
+
<div class="video-container">
|
370 |
+
<div>
|
371 |
+
<video autoplay controls muted loop>
|
372 |
+
<source src="static/videos/various_types/human.mp4" type="video/mp4" />
|
373 |
+
</video>
|
374 |
+
<h2 class="subtitle has-text-centered italic">
|
375 |
+
Human
|
376 |
+
</h2>
|
377 |
+
</div>
|
378 |
+
|
379 |
+
<div>
|
380 |
+
<video autoplay controls muted loop>
|
381 |
+
<source src="static/videos/various_types/pets.mp4" type="video/mp4" />
|
382 |
+
</video>
|
383 |
+
<h2 class="subtitle has-text-centered italic">
|
384 |
+
Pets
|
385 |
+
</h2>
|
386 |
+
</div>
|
387 |
+
</div>
|
388 |
+
|
389 |
+
<br>
|
390 |
+
|
391 |
+
<div class="video-container">
|
392 |
+
<div>
|
393 |
+
<video autoplay controls muted loop>
|
394 |
+
<source src="static/videos/demo/product_demo.mp4" type="video/mp4" />
|
395 |
+
</video>
|
396 |
+
<h2 class="subtitle has-text-centered italic">
|
397 |
+
Product Demo
|
398 |
+
</h2>
|
399 |
+
</div>
|
400 |
+
|
401 |
+
<div>
|
402 |
+
<video autoplay controls muted loop>
|
403 |
+
<source src="static/videos/demo/chinese_landscape.mp4" type="video/mp4" />
|
404 |
+
</video>
|
405 |
+
<h2 class="subtitle has-text-centered italic">
|
406 |
+
Chinese Antique
|
407 |
+
</h2>
|
408 |
+
</div>
|
409 |
+
</div>
|
410 |
+
|
411 |
+
</div>
|
412 |
+
|
413 |
+
</section>
|
414 |
+
|
415 |
+
<!-- Method -->
|
416 |
+
<section class="section hero">
|
417 |
+
<div class="container has-text-centered">
|
418 |
+
<h2 class="title is-3">Method</h2>
|
419 |
+
|
420 |
+
<!-- step 1 -->
|
421 |
+
<div class="container has-text-centered">
|
422 |
+
<h2 class="title has-text-centered is-4 italic">
|
423 |
+
Step 1 (Training & Inference): Construct 3D point cloud by monocular metric depth estimation.
|
424 |
+
</h2>
|
425 |
+
|
426 |
+
<div class="video-container" style="gap: 5px;">
|
427 |
+
<img src="static/images/scene1.jpg" width="25%" />
|
428 |
+
<img src="static/images/scene2.jpg" width="25%" />
|
429 |
+
<img src="static/images/scene3.jpg" width="25%" />
|
430 |
+
</div>
|
431 |
+
</div>
|
432 |
+
|
433 |
+
<br>
|
434 |
+
|
435 |
+
<!-- step 2 -->
|
436 |
+
<div class="container has-text-centered">
|
437 |
+
<h2 class="title has-text-centered is-4 italic">
|
438 |
+
Step 2 (Training): Align from relative-scale to metric-scale.
|
439 |
+
</h2>
|
440 |
+
|
441 |
+
<img src="static/images/align.jpg" width="80%" />
|
442 |
+
</div>
|
443 |
+
|
444 |
+
<br>
|
445 |
+
|
446 |
+
<!-- step 3 -->
|
447 |
+
<div class="container has-text-centered">
|
448 |
+
<h2 class="title has-text-centered is-4 italic">
|
449 |
+
Step 3 (Inference): Render preview video with camera trajectory on the reconstructed 3D scene.
|
450 |
+
</h2>
|
451 |
+
|
452 |
+
<div class="video-container">
|
453 |
+
<video autoplay controls muted loop>
|
454 |
+
<source src="static/videos/preview_video/preview1.mp4" type="video/mp4" />
|
455 |
+
</video>
|
456 |
+
|
457 |
+
<video autoplay controls muted loop>
|
458 |
+
<source src="static/videos/preview_video/preview2.mp4" type="video/mp4" />
|
459 |
+
</video>
|
460 |
+
|
461 |
+
<video autoplay controls muted loop>
|
462 |
+
<source src="static/videos/preview_video/preview3.mp4" type="video/mp4" />
|
463 |
+
</video>
|
464 |
+
</div>
|
465 |
+
</div>
|
466 |
+
|
467 |
+
<br>
|
468 |
+
|
469 |
+
<!-- step 4 -->
|
470 |
+
<div class="container has-text-centered">
|
471 |
+
<h2 class="title has-text-centered is-4 italic">
|
472 |
+
Step 4 (Inference): Scene-constrained noise shaping.
|
473 |
+
</h2>
|
474 |
+
|
475 |
+
<div class="content has-text-justified">
|
476 |
+
We paste the visible latents of preview video into the predicted latent during generation process.
|
477 |
+
However, we only paste on the high noise level and allow for
|
478 |
+
dynamics in lower level of noise, thus we name it "noise shaping" that only shapes the noise at the
|
479 |
+
initial high noise stage.
|
480 |
+
</div>
|
481 |
+
|
482 |
+
<div class="video-container">
|
483 |
+
<div>
|
484 |
+
<video autoplay controls muted loop>
|
485 |
+
<source src="static/videos/ablation/ablation1_preview.mp4" type="video/mp4" />
|
486 |
+
</video>
|
487 |
+
<h2 class="subtitle has-text-centered is-6 italic">
|
488 |
+
Preview Video
|
489 |
+
</h2>
|
490 |
+
</div>
|
491 |
+
|
492 |
+
<div>
|
493 |
+
<video autoplay controls muted loop>
|
494 |
+
<source src="static/videos/ablation/ablation1_withNoiseShaping.mp4" type="video/mp4" />
|
495 |
+
</video>
|
496 |
+
<h2 class="subtitle has-text-centered is-6 italic">
|
497 |
+
w. Scene-Constrained Noise Shaping
|
498 |
+
</h2>
|
499 |
+
</div>
|
500 |
+
|
501 |
+
<div>
|
502 |
+
<video autoplay controls muted loop>
|
503 |
+
<source src="static/videos/ablation/ablation1_withoutNoiseShaping.mp4" type="video/mp4" />
|
504 |
+
</video>
|
505 |
+
<h2 class="subtitle has-text-centered is-6 italic">
|
506 |
+
w.o. Scene-Constrained Noise Shaping
|
507 |
+
</h2>
|
508 |
+
</div>
|
509 |
+
</div>
|
510 |
+
</div>
|
511 |
+
</div>
|
512 |
+
</section>
|
513 |
+
|
514 |
+
<section class="section" id="BibTeX">
|
515 |
+
<div class="container is-max-desktop content">
|
516 |
+
<h2 class="title">BibTeX</h2>
|
517 |
+
<pre><code>
|
518 |
+
@article{li2025realcam,
|
519 |
+
title={RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control},
|
520 |
+
author={Li, Teng and Zheng, Guangcong and Jiang, Rui and Zhan, Shuigen and Wu, Tao and Lu, Yehao and Lin, Yining and Li, Xi},
|
521 |
+
journal={arXiv preprint arXiv:2502.10059},
|
522 |
+
year={2025},
|
523 |
+
}
|
524 |
+
</code></pre>
|
525 |
+
</div>
|
526 |
+
</section>
|
527 |
+
</body>
|
528 |
+
|
529 |
+
</html>
|
requirements.txt
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
diffusers
|
2 |
+
accelerate<1.8
|
3 |
+
transformers
|
4 |
+
numpy<2
|
5 |
+
torch==2.6
|
6 |
+
torchvision
|
7 |
+
torchcodec==0.0.2
|
8 |
+
sentencepiece
|
9 |
+
gradio
|
10 |
+
imageio
|
11 |
+
imageio-ffmpeg
|
12 |
+
moviepy
|
13 |
+
wandb
|
14 |
+
deepspeed<0.17
|
15 |
+
peft
|
16 |
+
decord
|
17 |
+
opencv-python
|
18 |
+
tensorboard
|
19 |
+
open_clip_torch==2.22.0
|
20 |
+
einops
|
21 |
+
fairscale
|
22 |
+
timm
|
23 |
+
pillow
|
24 |
+
xfuser
|
25 |
+
flash-attn<2.8
|
26 |
+
xformers
|
27 |
+
lightning
|
28 |
+
mmcv
|
29 |
+
html4vision
|
30 |
+
plyfile
|
31 |
+
open3d
|
32 |
+
pyvirtualdisplay
|
33 |
+
qwen_vl_utls[decord]
|