Lists (1)
Sort Name ascending (A-Z)
Stars
This version of EGE-UNet is a modification of the original EGE-UNet model.
Upscaling stable diffusion latents using a small neural network.
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Linux 平台下基于 Rust + GTK 开发的网易云音乐播放器
An implementation of Performer, a linear attention-based transformer, in Pytorch
High-resolution models for human tasks.
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
High-Resolution Image Synthesis with Latent Diffusion Models
Image Deblurring using Generative Adversarial Networks
[NeurlPS2024] One-Step Effective Diffusion Network for Real-World Image Super-Resolution
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Implementation of "EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer"
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
[CVPR 2025 Oral & Best Paper Award Candidate] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
基于python 脚本爬取微信群里的所有人群昵称,并保存到excel文件里
[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
hehuapei / visitor-badge
Forked from jwenjian/visitor-badgeA badge generator service to count visitors of your markdown file. Fork From:jwenjian/visitor-badge
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~