Increase remesh iterations in generate3d function from 7 to 10 for improved mesh quality

Reduce remesh iterations in generate3d function from 10 to 7 for optimized mesh generation

Add newline at the end of mlp_head.py for consistency and to adhere to coding standards

Remove redundant information from the description in app.py for clarity

Update activation function in RgbMlp class to use tanh for improved output range

Add debug logging for color statistics in CRM model

Add color statistics logging in generate3d function

Reduce remesh iterations in generate3d function for optimized mesh generation

Update remesh iterations and repair option in generate3d function for improved mesh quality

Increase remesh iterations in generate3d function for enhanced mesh quality

Update remesh size in generate3d function for improved mesh quality

Enable mesh repair in generate3d function for improved quality

Update remesh iterations in generate3d function for improved mesh quality

Adjust remesh size in generate3d function for improved mesh detail

Adjust resolution and remesh iterations in generate3d function for optimized output

Update resolution parameter in generate3d function for higher output quality

Update remesh parameters in generate3d function for enhanced mesh quality

Update remesh iterations in generate3d function for optimized performance

Update remesh parameters in generate3d function for improved mesh generation

Update remesh parameters in generate3d function for improved mesh quality

Update remesh iterations and device handling in generate3d function

Optimize generate3d function for performance and clarity

Refactor mesh generation in generate3d function to streamline processing

Update remesh parameter in generate3d function to disable remeshing

Fix typo in remesh parameter in generate3d function

Refine remesh size in generate3d function for improved mesh detail

Adjust remesh size in generate3d function for improved mesh quality

Enhance color processing in generate3d function by applying clipping and gamma correction

Update vertex color assignment in generate3d function to utilize original colors

Comment out KDTree functionality in generate3d function to simplify color assignment process. Updated mesh creation to set vertex colors to None, removing reliance on nearest neighbor color mapping.

Update remesh iterations in generate3d function to improve mesh quality

Refactor color scaling and assignment in generate3d function

Refine color extraction in generate3d function for original mesh

Enhance color assignment in generate3d function by utilizing original vertex data

Refactor vertex handling in generate3d function for improved performance

Add color assignment to new vertices in generate3d function

Refactor mesh generation in app.py and update remeshing parameters in inference.py

Enhance mesh generation in app.py and inference.py with hole filling and color assignment

Enhance image preprocessing in app.py with improved background handling and color conversion

Refactor background removal and image preprocessing in app.py

Enhance image preprocessing in app.py with background removal and color conversion

Add DIS background remover integration and model download functionality

Refactor generate3d function in inference.py to streamline mesh export process. Removed manual MTL file handling and updated export calls to enhance code clarity and maintainability.

Refactor generate3d function in inference.py to improve mesh export process. Introduced temporary file handling for OBJ, MTL, and PNG outputs, ensuring proper texture mapping. Enhanced code readability by restructuring renderer initialization and file writing logic.

Refactor device handling in generate3d function to use CPU instead of CUDA for mesh processing, ensuring compatibility with non-GPU environments. This change improves flexibility in data handling and maintains the integrity of the mesh generation process.

Update device handling in TwoStagePipeline to default to 'cuda' and adjust model loading to use 'cpu' for compatibility. Ensure consistent device usage across stages and improve code clarity.

Enhance Mesh class documentation by adding missing line breaks in docstrings for improved readability. Update device handling in FlexiCubes and FlexiCubesGeometry classes to default to 'cuda', ensuring consistent device usage across the application. Refactor ImageDreamDiffusion class to assert mode validity and streamline camera matrix pre-computation.

Refactor generate3d function in inference.py to enhance 3D mesh generation. Introduced new image processing steps for color and XYZ data, improved triplane feature extraction, and updated mesh export logic to utilize temporary file handling. This streamlines the rendering process and maintains compatibility with GPU devices.

Update generate3d function to initialize nvdiffrast context using CUDA, enhancing rendering performance and compatibility with GPU devices.

Enhance generate3d function to initialize nvdiffrast context for mesh export, improving rendering capabilities. Updated export call to include rendering context and adjusted parameters for UVs and texture image, ensuring better integration with the model.