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PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"
PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
[NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.
SwinIR: Image Restoration Using Swin Transformer (official repository)
CVPR2024 - Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
[ECCV 2024 - Oral] HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
High-Resolution Image Synthesis with Latent Diffusion Models
[CVPR 2024] X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model
[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
[SIGGRAPH2024] DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models
Official repo for consistency models.
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
Graph Machine Learning course, Xavier Bresson, 2023
Navigating Spreading-out Graph For Approximate Nearest Neighbor Search
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A resource repository for 3D machine learning
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
[ICLR2024] The official implementation of paper "VDT: General-purpose Video Diffusion Transformers via Mask Modeling", by Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding.
Latte: Latent Diffusion Transformer for Video Generation.
Code for "MeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing", ECCV 2022 Oral
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
[SIGGRAPH2023] NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.