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CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
| 15 |
eccv
| 23 | 3 |
2023-06-17 00:58:27.065000
|
https://github.com/JarrentWu1031/CCPL
| 158 |
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
|
https://scholar.google.com/scholar?cluster=4230247138141381244&hl=en&as_sdt=0,8
| 6 | 2,022 |
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression
| 13 |
eccv
| 4 | 2 |
2023-06-17 00:58:27.277000
|
https://github.com/nycu-mapl/canf-vc
| 14 |
Canf-vc: Conditional augmented normalizing flows for video compression
|
https://scholar.google.com/scholar?cluster=9828213896359812187&hl=en&as_sdt=0,21
| 2 | 2,022 |
DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta
| 16 |
eccv
| 3 | 3 |
2023-06-17 00:58:27.489000
|
https://github.com/bcmi/deltagan-few-shot-image-generation
| 46 |
Deltagan: Towards diverse few-shot image generation with sample-specific delta
|
https://scholar.google.com/scholar?cluster=13654349730598278299&hl=en&as_sdt=0,5
| 7 | 2,022 |
The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis
| 0 |
eccv
| 4 | 4 |
2023-06-17 00:58:27.701000
|
https://github.com/naver/garnet
| 35 |
The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis
|
https://scholar.google.com/scholar?cluster=3346268277544666601&hl=en&as_sdt=0,47
| 4 | 2,022 |
Multiview Regenerative Morphing with Dual Flows
| 0 |
eccv
| 0 | 0 |
2023-06-17 00:58:27.914000
|
https://github.com/jimtsai23/morphflow
| 5 |
Multiview Regenerative Morphing with Dual Flows
|
https://scholar.google.com/scholar?cluster=178572341855056655&hl=en&as_sdt=0,33
| 2 | 2,022 |
Custom Structure Preservation in Face Aging
| 1 |
eccv
| 1 | 0 |
2023-06-17 00:58:28.135000
|
https://github.com/guillermogotre/cusp
| 15 |
Custom structure preservation in face aging
|
https://scholar.google.com/scholar?cluster=6169634604921471229&hl=en&as_sdt=0,32
| 1 | 2,022 |
Spatio-Temporal Deformable Attention Network for Video Deblurring
| 4 |
eccv
| 4 | 3 |
2023-06-17 00:58:28.346000
|
https://github.com/huicongzhang/stdan
| 36 |
Spatio-Temporal Deformable Attention Network for Video Deblurring
|
https://scholar.google.com/scholar?cluster=3609025100424050379&hl=en&as_sdt=0,5
| 2 | 2,022 |
Unbiased Multi-Modality Guidance for Image Inpainting
| 1 |
eccv
| 1 | 2 |
2023-06-17 00:58:28.558000
|
https://github.com/yeates/MMT
| 24 |
Unbiased Multi-modality Guidance for Image Inpainting
|
https://scholar.google.com/scholar?cluster=10439991380921402413&hl=en&as_sdt=0,33
| 3 | 2,022 |
Motion Transformer for Unsupervised Image Animation
| 1 |
eccv
| 2 | 0 |
2023-06-17 00:58:28.769000
|
https://github.com/jialetao/motrans
| 36 |
Motion Transformer for Unsupervised Image Animation
|
https://scholar.google.com/scholar?cluster=16869199057816863838&hl=en&as_sdt=0,33
| 3 | 2,022 |
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer
| 5 |
eccv
| 17 | 10 |
2023-06-17 00:58:28.980000
|
https://github.com/chenyu-yang-2000/elegant
| 81 |
Elegant: Exquisite and locally editable gan for makeup transfer
|
https://scholar.google.com/scholar?cluster=6510140835920971269&hl=en&as_sdt=0,5
| 3 | 2,022 |
Editing Out-of-Domain GAN Inversion via Differential Activations
| 5 |
eccv
| 3 | 2 |
2023-06-17 00:58:29.192000
|
https://github.com/haoruisong622/editing-out-of-domain
| 36 |
Editing Out-of-Domain GAN Inversion via Differential Activations
|
https://scholar.google.com/scholar?cluster=18013841559496694332&hl=en&as_sdt=0,33
| 3 | 2,022 |
On the Robustness of Quality Measures for GANs
| 3 |
eccv
| 0 | 0 |
2023-06-17 00:58:29.404000
|
https://github.com/motasemalfarra/r-fid-robustness-of-quality-measures-for-gans
| 6 |
On the Robustness of Quality Measures for GANs
|
https://scholar.google.com/scholar?cluster=11284746856078915311&hl=en&as_sdt=0,5
| 1 | 2,022 |
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
| 46 |
eccv
| 46 | 13 |
2023-06-17 00:58:29.615000
|
https://github.com/FeiiYin/StyleHEAT
| 423 |
StyleHEAT: One-shot high-resolution editable talking face generation via pre-trained StyleGAN
|
https://scholar.google.com/scholar?cluster=5864155954786159147&hl=en&as_sdt=0,10
| 38 | 2,022 |
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
| 36 |
eccv
| 13 | 3 |
2023-06-17 00:58:29.826000
|
https://github.com/songweige/tats
| 165 |
Long video generation with time-agnostic vqgan and time-sensitive transformer
|
https://scholar.google.com/scholar?cluster=11641368973270167401&hl=en&as_sdt=0,47
| 10 | 2,022 |
WISE: Whitebox Image Stylization by Example-Based Learning
| 0 |
eccv
| 0 | 0 |
2023-06-17 00:58:30.037000
|
https://github.com/MaxReimann/WISE-Editing
| 5 |
WISE: Whitebox Image Stylization by Example-Based Learning
|
https://scholar.google.com/scholar?cluster=11721863994418579715&hl=en&as_sdt=0,5
| 1 | 2,022 |
Transformers As Meta-Learners for Implicit Neural Representations
| 8 |
eccv
| 4 | 3 |
2023-06-17 00:58:30.249000
|
https://github.com/yinboc/trans-inr
| 105 |
Transformers as Meta-learners for Implicit Neural Representations
|
https://scholar.google.com/scholar?cluster=14082790836112531054&hl=en&as_sdt=0,5
| 4 | 2,022 |
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment
| 4 |
eccv
| 23 | 12 |
2023-06-17 00:58:30.461000
|
https://github.com/taeu/style-your-hair
| 146 |
Style your hair: Latent optimization for pose-invariant hairstyle transfer via local-style-aware hair alignment
|
https://scholar.google.com/scholar?cluster=5314884270219491237&hl=en&as_sdt=0,16
| 6 | 2,022 |
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
| 15 |
eccv
| 95 | 37 |
2023-06-17 00:58:30.672000
|
https://github.com/sangyun884/hr-viton
| 479 |
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
|
https://scholar.google.com/scholar?cluster=9937789255365356917&hl=en&as_sdt=0,5
| 13 | 2,022 |
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis
| 8 |
eccv
| 13 | 0 |
2023-06-17 00:58:30.886000
|
https://github.com/jgkwak95/surf-gan
| 105 |
Injecting 3d perception of controllable nerf-gan into stylegan for editable portrait image synthesis
|
https://scholar.google.com/scholar?cluster=1000004118589887288&hl=en&as_sdt=0,10
| 4 | 2,022 |
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields
| 15 |
eccv
| 10 | 4 |
2023-06-17 00:58:31.103000
|
https://github.com/thomasneff/AdaNeRF
| 230 |
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields
|
https://scholar.google.com/scholar?cluster=1612473994682901973&hl=en&as_sdt=0,10
| 9 | 2,022 |
Improving the Perceptual Quality of 2D Animation Interpolation
| 5 |
eccv
| 8 | 0 |
2023-06-17 00:58:31.315000
|
https://github.com/shuhongchen/eisai-anime-interpolator
| 68 |
Improving the perceptual quality of 2d animation interpolation
|
https://scholar.google.com/scholar?cluster=12566095824277126296&hl=en&as_sdt=0,5
| 9 | 2,022 |
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
| 3 |
eccv
| 7 | 5 |
2023-06-17 00:58:31.527000
|
https://github.com/zhjy2016/splut
| 42 |
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
|
https://scholar.google.com/scholar?cluster=15232388700978391598&hl=en&as_sdt=0,23
| 5 | 2,022 |
DoodleFormer: Creative Sketch Drawing with Transformers
| 7 |
eccv
| 4 | 0 |
2023-06-17 00:58:31.738000
|
https://github.com/ankanbhunia/doodleformer
| 21 |
Doodleformer: Creative sketch drawing with transformers
|
https://scholar.google.com/scholar?cluster=2352232171072001106&hl=en&as_sdt=0,47
| 3 | 2,022 |
Implicit Neural Representations for Variable Length Human Motion Generation
| 11 |
eccv
| 1 | 2 |
2023-06-17 00:58:31.950000
|
https://github.com/pacerv/implicitmotion
| 14 |
Implicit neural representations for variable length human motion generation
|
https://scholar.google.com/scholar?cluster=3880426342699898660&hl=en&as_sdt=0,10
| 3 | 2,022 |
Learning Object Placement via Dual-Path Graph Completion
| 0 |
eccv
| 5 | 1 |
2023-06-17 00:58:32.161000
|
https://github.com/bcmi/graconet-object-placement
| 58 |
Learning Object Placement via Dual-Path Graph Completion
|
https://scholar.google.com/scholar?cluster=13655956839518412245&hl=en&as_sdt=0,31
| 7 | 2,022 |
Expanded Adaptive Scaling Normalization for End to End Image Compression
| 2 |
eccv
| 2 | 2 |
2023-06-17 00:58:32.373000
|
https://github.com/ChajinShin/EASN
| 10 |
Expanded Adaptive Scaling Normalization for End to End Image Compression
|
https://scholar.google.com/scholar?cluster=934780312576435440&hl=en&as_sdt=0,5
| 1 | 2,022 |
Generator Knows What Discriminator Should Learn in Unconditional GANs
| 4 |
eccv
| 8 | 0 |
2023-06-17 00:58:32.584000
|
https://github.com/naver-ai/ggdr
| 102 |
Generator Knows What Discriminator Should Learn in Unconditional GANs
|
https://scholar.google.com/scholar?cluster=2844655096145041282&hl=en&as_sdt=0,5
| 3 | 2,022 |
Compositional Visual Generation with Composable Diffusion Models
| 74 |
eccv
| 34 | 2 |
2023-06-17 00:58:32.798000
|
https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
| 354 |
Compositional visual generation with composable diffusion models
|
https://scholar.google.com/scholar?cluster=12245459038718110522&hl=en&as_sdt=0,5
| 13 | 2,022 |
ManiFest: Manifold Deformation for Few-Shot Image Translation
| 6 |
eccv
| 3 | 0 |
2023-06-17 00:58:33.010000
|
https://github.com/cv-rits/manifest
| 45 |
Manifest: Manifold deformation for few-shot image translation
|
https://scholar.google.com/scholar?cluster=11893365927357803426&hl=en&as_sdt=0,44
| 2 | 2,022 |
Supervised Attribute Information Removal and Reconstruction for Image Manipulation
| 1 |
eccv
| 0 | 1 |
2023-06-17 00:58:33.224000
|
https://github.com/nannanli999/airr
| 3 |
Supervised Attribute Information Removal and Reconstruction for Image Manipulation
|
https://scholar.google.com/scholar?cluster=791705095185319394&hl=en&as_sdt=0,33
| 1 | 2,022 |
Context-Consistent Semantic Image Editing with Style-Preserved Modulation
| 2 |
eccv
| 3 | 0 |
2023-06-17 00:58:33.436000
|
https://github.com/wuyangluo/spmpgan
| 22 |
Context-Consistent Semantic Image Editing with Style-Preserved Modulation
|
https://scholar.google.com/scholar?cluster=16781287196069917950&hl=en&as_sdt=0,4
| 3 | 2,022 |
Eliminating Gradient Conflict in Reference-Based Line-Art Colorization
| 5 |
eccv
| 3 | 1 |
2023-06-17 00:58:33.648000
|
https://github.com/kunkun0w0/sga
| 29 |
Eliminating Gradient Conflict in Reference-based Line-Art Colorization
|
https://scholar.google.com/scholar?cluster=6270700589308346326&hl=en&as_sdt=0,11
| 2 | 2,022 |
Efficient Long-Range Attention Network for Image Super-Resolution
| 43 |
eccv
| 15 | 16 |
2023-06-17 00:58:33.860000
|
https://github.com/xindongzhang/elan
| 153 |
Efficient long-range attention network for image super-resolution
|
https://scholar.google.com/scholar?cluster=3464402829187061665&hl=en&as_sdt=0,47
| 9 | 2,022 |
FlowFormer: A Transformer Architecture for Optical Flow
| 61 |
eccv
| 33 | 10 |
2023-06-17 00:58:34.073000
|
https://github.com/drinkingcoder/FlowFormer-Official
| 281 |
Flowformer: A transformer architecture for optical flow
|
https://scholar.google.com/scholar?cluster=14023494476653043335&hl=en&as_sdt=0,5
| 14 | 2,022 |
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
| 31 |
eccv
| 70 | 0 |
2023-06-17 00:58:34.288000
|
https://github.com/caiyuanhao1998/MST
| 386 |
Coarse-to-fine sparse transformer for hyperspectral image reconstruction
|
https://scholar.google.com/scholar?cluster=2900405794489939688&hl=en&as_sdt=0,14
| 7 | 2,022 |
Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks
| 9 |
eccv
| 3 | 0 |
2023-06-17 00:58:34.500000
|
https://github.com/zysxmu/ddtb
| 19 |
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
|
https://scholar.google.com/scholar?cluster=1333565731030185938&hl=en&as_sdt=0,10
| 1 | 2,022 |
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
| 11 |
eccv
| 15 | 0 |
2023-06-17 00:58:34.712000
|
https://github.com/pjlallen/osformer
| 70 |
Osformer: One-stage camouflaged instance segmentation with transformers
|
https://scholar.google.com/scholar?cluster=3884436386572116508&hl=en&as_sdt=0,5
| 7 | 2,022 |
Highly Accurate Dichotomous Image Segmentation
| 14 |
eccv
| 158 | 57 |
2023-06-17 00:58:34.923000
|
https://github.com/xuebinqin/DIS
| 1,378 |
Highly accurate dichotomous image segmentation
|
https://scholar.google.com/scholar?cluster=14912311473813840654&hl=en&as_sdt=0,15
| 81 | 2,022 |
Flow-Guided Transformer for Video Inpainting
| 9 |
eccv
| 20 | 4 |
2023-06-17 00:58:35.149000
|
https://github.com/hitachinsk/fgt
| 198 |
Flow-guided transformer for video inpainting
|
https://scholar.google.com/scholar?cluster=1751280143087107618&hl=en&as_sdt=0,47
| 14 | 2,022 |
Shift-tolerant Perceptual Similarity Metric
| 2 |
eccv
| 0 | 0 |
2023-06-17 00:58:35.360000
|
https://github.com/abhijay9/shifttolerant-lpips
| 17 |
Shift-tolerant Perceptual Similarity Metric
|
https://scholar.google.com/scholar?cluster=17919204630676311579&hl=en&as_sdt=0,32
| 1 | 2,022 |
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
| 1 |
eccv
| 0 | 1 |
2023-06-17 00:58:35.572000
|
https://github.com/yuehan717/pdasr
| 16 |
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
|
https://scholar.google.com/scholar?cluster=7760707849215243462&hl=en&as_sdt=0,39
| 3 | 2,022 |
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
| 18 |
eccv
| 33 | 12 |
2023-06-17 00:58:35.783000
|
https://github.com/tencentarc/vqfr
| 237 |
Vqfr: Blind face restoration with vector-quantized dictionary and parallel decoder
|
https://scholar.google.com/scholar?cluster=17305503687713052200&hl=en&as_sdt=0,25
| 26 | 2,022 |
Learning Local Implicit Fourier Representation for Image Warping
| 2 |
eccv
| 3 | 0 |
2023-06-17 00:58:35.996000
|
https://github.com/jaewon-lee-b/ltew
| 38 |
Learning Local Implicit Fourier Representation for Image Warping
|
https://scholar.google.com/scholar?cluster=1487802789822830782&hl=en&as_sdt=0,5
| 3 | 2,022 |
SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement
| 6 |
eccv
| 3 | 5 |
2023-06-17 00:58:36.207000
|
https://github.com/ImCharlesY/SepLUT
| 30 |
SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement
|
https://scholar.google.com/scholar?cluster=13045636902151832924&hl=en&as_sdt=0,33
| 3 | 2,022 |
Blind Image Decomposition
| 8 |
eccv
| 7 | 4 |
2023-06-17 00:58:36.419000
|
https://github.com/JunlinHan/BID
| 86 |
Blind image decomposition
|
https://scholar.google.com/scholar?cluster=13827440915849525842&hl=en&as_sdt=0,26
| 3 | 2,022 |
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
| 8 |
eccv
| 10 | 10 |
2023-06-17 00:58:36.630000
|
https://github.com/researchmm/ftvsr
| 126 |
Learning spatiotemporal frequency-transformer for compressed video super-resolution
|
https://scholar.google.com/scholar?cluster=3517362769556707866&hl=en&as_sdt=0,33
| 5 | 2,022 |
Adaptive Patch Exiting for Scalable Single Image Super-Resolution
| 4 |
eccv
| 1 | 4 |
2023-06-17 00:58:36.842000
|
https://github.com/littlepure2333/ape
| 43 |
Adaptive Patch Exiting for Scalable Single Image Super-Resolution
|
https://scholar.google.com/scholar?cluster=13105082447976896164&hl=en&as_sdt=0,39
| 4 | 2,022 |
Efficient Meta-Tuning for Content-Aware Neural Video Delivery
| 3 |
eccv
| 1 | 0 |
2023-06-17 00:58:37.054000
|
https://github.com/neural-video-delivery/emt-pytorch-eccv2022
| 6 |
Efficient Meta-Tuning for Content-Aware Neural Video Delivery
|
https://scholar.google.com/scholar?cluster=10130679358783772745&hl=en&as_sdt=0,11
| 0 | 2,022 |
Reference-Based Image Super-Resolution with Deformable Attention Transformer
| 7 |
eccv
| 5 | 10 |
2023-06-17 00:58:37.266000
|
https://github.com/caojiezhang/datsr
| 88 |
Reference-Based Image Super-Resolution with Deformable Attention Transformer
|
https://scholar.google.com/scholar?cluster=16071126281599435175&hl=en&as_sdt=0,33
| 10 | 2,022 |
Local Color Distributions Prior for Image Enhancement
| 9 |
eccv
| 9 | 0 |
2023-06-17 00:58:37.478000
|
https://github.com/onpix/LCDPNet
| 68 |
Local color distributions prior for image enhancement
|
https://scholar.google.com/scholar?cluster=17586761629730586859&hl=en&as_sdt=0,5
| 3 | 2,022 |
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution
| 5 |
eccv
| 6 | 0 |
2023-06-17 00:58:37.690000
|
https://github.com/csxmli2016/redegnet
| 88 |
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution
|
https://scholar.google.com/scholar?cluster=13593701505599300377&hl=en&as_sdt=0,5
| 9 | 2,022 |
Towards Interpretable Video Super-Resolution via Alternating Optimization
| 5 |
eccv
| 1 | 5 |
2023-06-17 00:58:37.903000
|
https://github.com/caojiezhang/davsr
| 59 |
Towards interpretable video super-resolution via alternating optimization
|
https://scholar.google.com/scholar?cluster=10238293316792513067&hl=en&as_sdt=0,5
| 3 | 2,022 |
Event-Based Fusion for Motion Deblurring with Cross-Modal Attention
| 17 |
eccv
| 10 | 9 |
2023-06-17 00:58:38.114000
|
https://github.com/AHupuJR/EFNet
| 92 |
Event-based fusion for motion deblurring with cross-modal attention
|
https://scholar.google.com/scholar?cluster=14490474713276822461&hl=en&as_sdt=0,5
| 4 | 2,022 |
Uncertainty Inspired Underwater Image Enhancement
| 9 |
eccv
| 4 | 1 |
2023-06-17 00:58:38.327000
|
https://github.com/zhenqifu/puie-net
| 19 |
Uncertainty Inspired Underwater Image Enhancement
|
https://scholar.google.com/scholar?cluster=10126452681191982181&hl=en&as_sdt=0,33
| 1 | 2,022 |
Unfolded Deep Kernel Estimation for Blind Image Super-Resolution
| 2 |
eccv
| 5 | 2 |
2023-06-17 00:58:38.539000
|
https://github.com/natezhenghy/udke
| 17 |
Unfolded Deep Kernel Estimation for Blind Image Super-Resolution
|
https://scholar.google.com/scholar?cluster=1520667820848489098&hl=en&as_sdt=0,22
| 3 | 2,022 |
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
| 7 |
eccv
| 8 | 10 |
2023-06-17 00:58:38.752000
|
https://github.com/csjliang/dasr
| 97 |
Efficient and degradation-adaptive network for real-world image super-resolution
|
https://scholar.google.com/scholar?cluster=3974082769301249568&hl=en&as_sdt=0,48
| 4 | 2,022 |
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones
| 4 |
eccv
| 2 | 0 |
2023-06-17 00:58:38.964000
|
https://github.com/nagejacob/flornn
| 20 |
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones
|
https://scholar.google.com/scholar?cluster=15935770797216345092&hl=en&as_sdt=0,5
| 3 | 2,022 |
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
| 5 |
eccv
| 7 | 0 |
2023-06-17 00:58:39.176000
|
https://github.com/cszhilu1998/selfdzsr
| 53 |
Self-supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
|
https://scholar.google.com/scholar?cluster=16385658738161606222&hl=en&as_sdt=0,33
| 1 | 2,022 |
Secrets of Event-Based Optical Flow
| 25 |
eccv
| 3 | 1 |
2023-06-17 00:58:39.388000
|
https://github.com/tub-rip/event_based_optical_flow
| 75 |
Secrets of event-based optical flow
|
https://scholar.google.com/scholar?cluster=13783388448881671161&hl=en&as_sdt=0,25
| 8 | 2,022 |
ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images
| 1 |
eccv
| 0 | 2 |
2023-06-17 00:58:39.600000
|
https://github.com/rajeevyasarla/art-ss
| 4 |
Art-ss: An adaptive rejection technique for semi-supervised restoration for adverse weather-affected images
|
https://scholar.google.com/scholar?cluster=8634464602596189660&hl=en&as_sdt=0,25
| 0 | 2,022 |
Learning Degradation Representations for Image Deblurring
| 10 |
eccv
| 5 | 0 |
2023-06-17 00:58:39.811000
|
https://github.com/dasongli1/learning_degradation
| 38 |
Learning Degradation Representations for Image Deblurring
|
https://scholar.google.com/scholar?cluster=11119821786788764797&hl=en&as_sdt=0,39
| 1 | 2,022 |
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution
| 4 |
eccv
| 0 | 4 |
2023-06-17 00:58:40.022000
|
https://github.com/palmdong/mmsr
| 43 |
Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution
|
https://scholar.google.com/scholar?cluster=298716658447470528&hl=en&as_sdt=0,5
| 1 | 2,022 |
Neural Color Operators for Sequential Image Retouching
| 4 |
eccv
| 3 | 0 |
2023-06-17 00:58:40.235000
|
https://github.com/amberwangyili/neurop
| 39 |
Neural Color Operators for Sequential Image Retouching
|
https://scholar.google.com/scholar?cluster=3823720464495152486&hl=en&as_sdt=0,41
| 3 | 2,022 |
Optimizing Image Compression via Joint Learning with Denoising
| 4 |
eccv
| 4 | 1 |
2023-06-17 00:58:40.447000
|
https://github.com/felixcheng97/denoisecompression
| 29 |
Optimizing image compression via joint learning with denoising
|
https://scholar.google.com/scholar?cluster=13649554563810257260&hl=en&as_sdt=0,5
| 2 | 2,022 |
Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution
| 3 |
eccv
| 1 | 0 |
2023-06-17 00:58:40.659000
|
https://github.com/wuyushuwys/compiler-aware-nas-sr
| 17 |
Compiler-aware neural architecture search for on-mobile real-time super-resolution
|
https://scholar.google.com/scholar?cluster=2243620518317324754&hl=en&as_sdt=0,25
| 2 | 2,022 |
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction
| 3 |
eccv
| 2 | 0 |
2023-06-17 00:58:40.870000
|
https://github.com/jiamian-wang/mask_uncertainty_spectral_sci
| 16 |
Modeling mask uncertainty in hyperspectral image reconstruction
|
https://scholar.google.com/scholar?cluster=6079714254448074761&hl=en&as_sdt=0,36
| 1 | 2,022 |
Stripformer: Strip Transformer for Fast Image Deblurring
| 26 |
eccv
| 6 | 0 |
2023-06-17 00:58:41.083000
|
https://github.com/pp00704831/Stripformer
| 58 |
Stripformer: Strip transformer for fast image deblurring
|
https://scholar.google.com/scholar?cluster=10215844569682190526&hl=en&as_sdt=0,14
| 1 | 2,022 |
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution
| 1 |
eccv
| 0 | 0 |
2023-06-17 00:58:41.295000
|
https://github.com/setsunil/dsdnet
| 2 |
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution
|
https://scholar.google.com/scholar?cluster=13377495633902429445&hl=en&as_sdt=0,5
| 1 | 2,022 |
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
| 3 |
eccv
| 1 | 3 |
2023-06-17 00:58:41.507000
|
https://github.com/jiahong-fu/kxnet
| 19 |
KXNet: A model-driven deep neural network for blind super-resolution
|
https://scholar.google.com/scholar?cluster=12146394812137134639&hl=en&as_sdt=0,23
| 1 | 2,022 |
ARM: Any-Time Super-Resolution Method
| 7 |
eccv
| 6 | 2 |
2023-06-17 00:58:41.719000
|
https://github.com/chenbong/arm-net
| 66 |
Arm: Any-time super-resolution method
|
https://scholar.google.com/scholar?cluster=9854931424979748889&hl=en&as_sdt=0,23
| 2 | 2,022 |
RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos
| 5 |
eccv
| 6 | 9 |
2023-06-17 00:58:41.930000
|
https://github.com/megvii-research/realflow
| 65 |
RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos
|
https://scholar.google.com/scholar?cluster=2357872755011993501&hl=en&as_sdt=0,10
| 5 | 2,022 |
Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer
| 9 |
eccv
| 8 | 1 |
2023-06-17 00:58:42.141000
|
https://github.com/megvii-research/hdr-transformer
| 62 |
Ghost-free High Dynamic Range Imaging with Context-aware Transformer
|
https://scholar.google.com/scholar?cluster=11991343694761677136&hl=en&as_sdt=0,23
| 7 | 2,022 |
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution
| 4 |
eccv
| 1 | 1 |
2023-06-17 00:58:42.353000
|
https://github.com/megvii-research/d2c-sr
| 35 |
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution
|
https://scholar.google.com/scholar?cluster=3563418582975171663&hl=en&as_sdt=0,39
| 3 | 2,022 |
GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training
| 2 |
eccv
| 3 | 0 |
2023-06-17 00:58:42.565000
|
https://github.com/jaeseokbyun/grit-vlp
| 15 |
GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training
|
https://scholar.google.com/scholar?cluster=15243780204045830710&hl=en&as_sdt=0,6
| 1 | 2,022 |
Efficient Video Deblurring Guided by Motion Magnitude
| 4 |
eccv
| 2 | 0 |
2023-06-17 00:58:42.777000
|
https://github.com/sollynoay/mmp-rnn
| 33 |
Efficient video deblurring guided by motion magnitude
|
https://scholar.google.com/scholar?cluster=18330514522578591072&hl=en&as_sdt=0,39
| 2 | 2,022 |
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model
| 9 |
eccv
| 3 | 4 |
2023-06-17 00:58:42.989000
|
https://github.com/vita-group/turbnet
| 17 |
Single frame atmospheric turbulence mitigation: A benchmark study and a new physics-inspired transformer model
|
https://scholar.google.com/scholar?cluster=4037966427869046131&hl=en&as_sdt=0,44
| 10 | 2,022 |
Image Super-Resolution with Deep Dictionary
| 3 |
eccv
| 4 | 0 |
2023-06-17 00:58:43.201000
|
https://github.com/shuntama/srdd
| 21 |
Image Super-Resolution with Deep Dictionary
|
https://scholar.google.com/scholar?cluster=11087658392566964930&hl=en&as_sdt=0,5
| 1 | 2,022 |
Transformer with Implicit Edges for Particle-Based Physics Simulation
| 1 |
eccv
| 1 | 0 |
2023-06-17 00:58:43.413000
|
https://github.com/ftbabi/tie_eccv2022
| 18 |
Transformer with Implicit Edges for Particle-Based Physics Simulation
|
https://scholar.google.com/scholar?cluster=9449642789524236611&hl=en&as_sdt=0,36
| 1 | 2,022 |
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
| 8 |
eccv
| 3 | 2 |
2023-06-17 00:58:43.624000
|
https://github.com/zzh-tech/animation-from-blur
| 53 |
Animation from blur: Multi-modal blur decomposition with motion guidance
|
https://scholar.google.com/scholar?cluster=9123494897020961967&hl=en&as_sdt=0,5
| 4 | 2,022 |
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
| 4 |
eccv
| 1 | 1 |
2023-06-17 00:58:43.837000
|
https://github.com/zouxinyi0625/cdnet
| 13 |
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
|
https://scholar.google.com/scholar?cluster=1956941044982502116&hl=en&as_sdt=0,3
| 2 | 2,022 |
Self-Support Few-Shot Semantic Segmentation
| 17 |
eccv
| 7 | 5 |
2023-06-17 00:58:44.048000
|
https://github.com/fanq15/ssp
| 69 |
Self-support few-shot semantic segmentation
|
https://scholar.google.com/scholar?cluster=9613308018815988294&hl=en&as_sdt=0,3
| 2 | 2,022 |
Self-Supervision Can Be a Good Few-Shot Learner
| 12 |
eccv
| 6 | 0 |
2023-06-17 00:58:44.261000
|
https://github.com/bbbdylan/unisiam
| 23 |
Self-supervision can be a good few-shot learner
|
https://scholar.google.com/scholar?cluster=4096987818886615290&hl=en&as_sdt=0,4
| 3 | 2,022 |
tSF: Transformer-Based Semantic Filter for Few-Shot Learning
| 2 |
eccv
| 0 | 0 |
2023-06-17 00:58:44.474000
|
https://github.com/Layjins/FewShotLearning-tSF
| 3 |
tSF: Transformer-Based Semantic Filter for Few-Shot Learning
|
https://scholar.google.com/scholar?cluster=5698571287241225877&hl=en&as_sdt=0,11
| 3 | 2,022 |
Adversarial Feature Augmentation for Cross-Domain Few-Shot Classification
| 10 |
eccv
| 1 | 2 |
2023-06-17 00:58:44.685000
|
https://github.com/youthhoo/afa_for_few_shot_learning
| 11 |
Adversarial Feature Augmentation for Cross-domain Few-Shot Classification
|
https://scholar.google.com/scholar?cluster=14462214637786993820&hl=en&as_sdt=0,18
| 2 | 2,022 |
Constructing Balance from Imbalance for Long-Tailed Image Recognition
| 7 |
eccv
| 0 | 0 |
2023-06-17 00:58:44.896000
|
https://github.com/silicx/dlsa
| 13 |
Constructing balance from imbalance for long-tailed image recognition
|
https://scholar.google.com/scholar?cluster=12609344790634586279&hl=en&as_sdt=0,11
| 2 | 2,022 |
Few-Shot Video Object Detection
| 5 |
eccv
| 47 | 55 |
2023-06-17 00:58:45.108000
|
https://github.com/fanq15/FewX
| 316 |
Few-shot video object detection
|
https://scholar.google.com/scholar?cluster=7961825092807755752&hl=en&as_sdt=0,10
| 14 | 2,022 |
Worst Case Matters for Few-Shot Recognition
| 1 |
eccv
| 0 | 0 |
2023-06-17 00:58:45.320000
|
https://github.com/heekhero/ACSR
| 7 |
Worst Case Matters for Few-Shot Recognition
|
https://scholar.google.com/scholar?cluster=12823135366704972810&hl=en&as_sdt=0,33
| 1 | 2,022 |
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
| 3 |
eccv
| 1 | 0 |
2023-06-17 00:58:45.532000
|
https://github.com/WilliamYi96/HGR-Net
| 14 |
Exploring hierarchical graph representation for large-scale zero-shot image classification
|
https://scholar.google.com/scholar?cluster=4800924625104175232&hl=en&as_sdt=0,14
| 2 | 2,022 |
Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation
| 6 |
eccv
| 0 | 2 |
2023-06-17 00:58:45.743000
|
https://github.com/shadowxzt/dacm-few-shot.pytorch
| 8 |
Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation
|
https://scholar.google.com/scholar?cluster=1359227618447849305&hl=en&as_sdt=0,5
| 1 | 2,022 |
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
| 9 |
eccv
| 11 | 0 |
2023-06-17 00:58:45.955000
|
https://github.com/pawn-sxy/dcama
| 46 |
Dense cross-query-and-support attention weighted mask aggregation for few-shot segmentation
|
https://scholar.google.com/scholar?cluster=17485956023511063051&hl=en&as_sdt=0,14
| 0 | 2,022 |
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
| 2 |
eccv
| 1 | 0 |
2023-06-17 00:58:46.182000
|
https://github.com/xingpingdong/pl-cfe
| 3 |
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
|
https://scholar.google.com/scholar?cluster=9620651412344831514&hl=en&as_sdt=0,44
| 3 | 2,022 |
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects
| 4 |
eccv
| 4 | 3 |
2023-06-17 00:58:46.395000
|
https://github.com/townim-faisal/fscil-3d
| 16 |
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects
|
https://scholar.google.com/scholar?cluster=1772360174390670957&hl=en&as_sdt=0,36
| 1 | 2,022 |
Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection
| 6 |
eccv
| 0 | 1 |
2023-06-17 00:58:46.606000
|
https://github.com/zs123-lang/tenet
| 3 |
Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection
|
https://scholar.google.com/scholar?cluster=10668839897669475580&hl=en&as_sdt=0,33
| 2 | 2,022 |
Self-Promoted Supervision for Few-Shot Transformer
| 4 |
eccv
| 4 | 4 |
2023-06-17 00:58:46.818000
|
https://github.com/dongsky/few-shot-vit
| 40 |
Self-Promoted Supervision for Few-Shot Transformer
|
https://scholar.google.com/scholar?cluster=10018956318668229427&hl=en&as_sdt=0,5
| 3 | 2,022 |
Few-Shot Object Counting and Detection
| 5 |
eccv
| 1 | 9 |
2023-06-17 00:58:47.030000
|
https://github.com/vinairesearch/counting-detr
| 26 |
Few-Shot Object Counting and Detection
|
https://scholar.google.com/scholar?cluster=11531166092977785304&hl=en&as_sdt=0,24
| 3 | 2,022 |
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
| 3 |
eccv
| 1 | 1 |
2023-06-17 00:58:47.243000
|
https://github.com/amazon-research/few-shot-object-detection-benchmark
| 8 |
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
|
https://scholar.google.com/scholar?cluster=11138126306412509009&hl=en&as_sdt=0,44
| 9 | 2,022 |
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
| 4 |
eccv
| 1 | 0 |
2023-06-17 00:58:47.455000
|
https://github.com/WentaoChen0813/CDCS-FSL
| 5 |
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
|
https://scholar.google.com/scholar?cluster=12324415757438647098&hl=en&as_sdt=0,33
| 2 | 2,022 |
Improving Few-Shot Learning through Multi-task Representation Learning Theory
| 7 |
eccv
| 0 | 0 |
2023-06-17 00:58:47.666000
|
https://github.com/cea-list/metamtreg
| 5 |
Improving Few-Shot Learning Through Multi-task Representation Learning Theory
|
https://scholar.google.com/scholar?cluster=9061027599238574404&hl=en&as_sdt=0,5
| 2 | 2,022 |
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
| 5 |
eccv
| 3 | 0 |
2023-06-17 00:58:47.878000
|
https://github.com/remiMZ/HTS-ECCV22
| 7 |
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
|
https://scholar.google.com/scholar?cluster=7260005370926286580&hl=en&as_sdt=0,44
| 2 | 2,022 |
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
| 6 |
eccv
| 0 | 1 |
2023-06-17 00:58:48.091000
|
https://github.com/vinairesearch/fsvc-ata
| 13 |
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
|
https://scholar.google.com/scholar?cluster=8246881591316575010&hl=en&as_sdt=0,5
| 4 | 2,022 |
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