Stars
[CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step
Official code base of "Perception-Oriented Video Frame Interpolation via Asymmetric Blending" (CVPR 2024), also denoted as ''PerVFI''.
CVPR2023 (highlight) - UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
code for <Compressing Image Super-resolution Network via Model Compression and Knowledge Distillation>
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020
A project aimed at segmentating cartoon characters from images.
这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。
[CVPR 2023] Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolatio
mgharbi / hdrnet
Forked from google/hdrnetAn implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017
Low-latency Space-time Supersampling for Real-time Rendering
This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
[ICCV'23] VQD-SR: Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
[CVPR2025 Highlight] SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
[Not working] PyTorch version of the paper 'Neural Supersampling for Real-time Rendering' by Facebook Reality Labs (2020)
Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
Accessible large language models via k-bit quantization for PyTorch.
(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution [PyTorch]
QLoRA: Efficient Finetuning of Quantized LLMs
Temporal Anti-Aliasing(TAA) for Unity’s Universal Render Pipeline
PyTorch code for our paper "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution"
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Online Multi-Granularity Distillation for GAN Compression (ICCV2021)
[CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
[CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
[CVPR 2024 Highlight] Enhancing Video Super-Resolution via Implicit Resampling-based Alignment.