wenhaol's starred repositories
SRGAN-PyTorch
A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".
SRGAN_Wasserstein
Apply Waseerstein GAN into SRGAN, a deep learning super resolution model
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Sonar-dataset
dataset collect from side-scan sonar(without classified part)
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
magic-animate
[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
pytorch-noise2void
Noise2Void - Learning Denoising from Single Noisy Images
Zero-shot-Noise2Noise
根据CVPR2023论文Zero-shot Noise2Noise,复现了一个零样本、无假设的图像去噪模型
DnCNN-PyTorch
PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Blind2Unblind
This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".
Awesome-Denoise
One-paper-one-short-contribution-summary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
awesome-few-shot-generation
A curated list of awesome few-shot image generation papers
Learning-in-practice
learning (Fork 代码的小伙伴留下你们的star吧)
GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
FiLM-pytorch
PyTorch implementation of FiLM: Visual Reasoning with a General Conditioning Layer