Stars
Arbitrary-steps Image Super-resolution via Diffusion Inversion
functorch is JAX-like composable function transforms for PyTorch.
基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core
Linux环境安装配置Clash工具,以实现代理上网效果。包含下载、安装、配置、运行、测试以及开机自启动、定期自动更新订阅功能的操作文档,希望对你有所帮助
🏠 MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes
Code for "Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing"
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Official Implementation of Rethinking Score Distillation as a Bridge Between Image Distributions
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Official Pytorch Implementation of Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Official and maintained implementation of the paper "Differentiable JPEG: The Devil is in the Details" [WACV 2024].
Accessible large language models via k-bit quantization for PyTorch.
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
Unofficial implementation of 2D ProlificDreamer
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)
Official Implementation of "Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity (ICML 2024)"
ControlNet++: All-in-one ControlNet for image generations and editing!
🏠[ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
Official code accompanying the arXiv paper Compressing Multisets with Large Alphabets
[ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.