Shuyang Sun's starred repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
MotionCtrl
Official Code for MotionCtrl [SIGGRAPH 2024]
DragDiffusion
[CVPR2024, Highlight] Official code for DragDiffusion
ScaleCrafter
[ICLR 2024 Spotlight] Official implementation of ScaleCrafter for higher-resolution visual generation at inference time.
SyntheticData
Is synthetic data from generative models ready for image recognition?
PartImageNet
Introduction and scripts for the paper "PartImageNet: A Large, High-Quality Dataset of Parts" (Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Alan Yuille).
Training-Data-Synthesis
[ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching
kmax-deeplab
a PyTorch re-implementation of ECCV 2022 paper based on Detectron2: k-means mask Transformer.
RAG-Driver
A Multi-Modal Large Language Model with Retrieval-augmented In-context Learning capacity designed for generalisable and explainable end-to-end driving
Oxford_HIC
A large-scale humour-oriented image text dataset