[NeurIPS 2024 Spotlight] Tetrahedron Splatting for 3D Generation

[NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Gaussian Haircut: Human Hair Reconstruction with Strand-Aligned 3D Gaussians

🏠[ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

[ECCV 2024] The official repo for "Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing"

Differentiable gaussian rasterization with depth, alpha, normal map and extra per-Gaussian attributes, also support camera pose gradient

[ECCV2024] FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally

Official Implementation of "Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining"

Code for the CVPR 2023 paper "NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images".

NEAT: Distilling 3D Wireframes from Neural Attraction Fields (CVPR 2024)

[CVPR'24] 3D Neural Edge Reconstruction

Refine high-quality datasets and visual AI models

[ICML2024]The official implementation of SemiRES in PyTorch.

(ICML 2024) Spider: A Unified Framework for Context-dependent Concept Segmentation

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

1-shot image segmentation using Stable Diffusion

[ICCV'23] Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation

Official pytorch implementation of "Diffusion Model Patching via Mixture-of-Prompts"

[CVPR 2024] Official implementation of the paper "Visual In-context Learning"

Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

Official PyTorch implementation of the paper "In-Context Learning Unlocked for Diffusion Models"

[NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models.

The codes of <Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units>