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Real-Time Diffusion-Based Streaming Video Super-Resolution / 基于Diffusion架构的实时视频流超分模型
[CVPR 2025] Official implementation of the paper "TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution".
[CVPR 2025] FaithDiff for Classic Film Rejuvenation, Old Photo Revival, Social Media Restoration, Image Enhancement and AIGC Enhancement.
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
[NeurIPS 2025] 4KAgent: Agentic Any Image to 4K Super-Resolution. An intelligent computer vision agent that can magically restore any image to perfect-4K!
Repo for SeedVR2 & SeedVR (CVPR2025 Highlight)
A sparse attention kernel supporting mix sparse patterns
Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional de…
[ICCV 2025] STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
AppWorld agent with Agentic Context Engineering (ACE)
Evolve your language agent with Agentic Context Engineering (ACE)
🌍 AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.
Official implementation of paper "ACON: Optimizing Context Compression for Long-horizon LLM Agents"
🧠 Make your agents learn from experience. Based on the Agentic Context Engineering (ACE) framework.
[SIGGRAPH'24] CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization
[CVPR 2025] StdGEN: Semantic-Decomposed 3D Character Generation from Single Images
[ICLR'25] SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
A collection of useful functions for 3D vision & graphics research in Python.
Official implementation of "DepthLab: From Partial to Complete"
[CVPR'25 Highlight] You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git