Stars
Reference PyTorch implementation and models for DINOv3
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Chess reinforcement learning by AlphaGo Zero methods.
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
[CVPR 2024] FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
研究生数学建模，华为杯数学建模，2021D题（数模之星），乳腺癌，机器学习，数据分析
Labs for MIT 6.S184/6.S975, IAP 2025/2026
learning materials for PyTorch beginners
XoFTR is a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images.
Research code for paper "Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis"
An emotion based music recommendation system
Denoising framework for SAR images (Synthetic Aperture Radar) based on the FFDNet. Final project of MVA course "Remote sensing data: from sensor to large-scale geospatial data exploitation"
CVPR 2024: Learned representation-guided diffusion models for large-image generation
[ICCV 2025] SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
High resolution image to image translation using multi-scale gradients
text-driven image style transfer (TxST) that leverages advanced image-text encoders to control arbitrary style transfer
Official code of the paper "PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model"
We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for seismic signal denoising and seismic damage assessment.
Generative Uncertainty in Diffusion Models
Converting night into day is one of the most interesting applications in generative models, due to the great difficulty in recreating the scene during the day, especially in cases of extreme darkne…
Implementation of CODE: Confident Ordinary Differential Editing