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National University of Defense Technology (NUDT)
- Changsha, China
- https://longguangwang.github.io
Stars
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
๐ง R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
[CVPR'25] DropoutGS: Dropouting out Gaussian for Better Sparse-view Rendering
[ICCV 2025 Highlight] ๐๐๐ Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
Simulating the Real World: Survey & Resources, which contains our survey "Simulating the Real World: A Unified Survey of Multimodal Generative Models" and Awesome-Text2X-Resources. Watch this reposโฆ
[CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step
A pure pytorch implementation of 3D gaussian Splatting
[ECCV 2024] The official repo for "Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing"
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
[WACV 2024] Understanding Dark Scenes by Contrasting Multi-Modal Observations
Repository for "Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision", CVPR, 2023
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
Official Code for DragGAN (SIGGRAPH 2023)
ImageBind One Embedding Space to Bind Them All
๐ฉ๐ฟโ๐ป๐จ๐พโ๐ป๐ฉ๐ผโ๐ป๐จ๐ฝโ๐ป๐ฉ๐ปโ๐ปไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎๅ่กจ -- ๅไบซๅคงๅฎถ้ฝๅจๅไปไน