kanydao's Stars
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
tencent-ailab/IP-Adapter
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
facebookresearch/flow_matching
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
chaofengc/IQA-PyTorch
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
wasserth/TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
ustctug/ustcthesis
LaTeX template for USTC thesis
wyhuai/DDNM
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
ermongroup/SDEdit
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
omriav/blended-latent-diffusion
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
omriav/blended-diffusion
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
dongzhuoyao/awesome-flow-matching
A summary of related works about flow matching, stochastic interpolants
1zb/3DShape2VecSet
google/diffseg
DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.
carrenD/Medical-Cross-Modality-Domain-Adaptation
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
vvictoryuki/FreeDoM
[ICCV 2023] Official PyTorch implementation for the paper "FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model"
RodinHD/RodinHD
[ECCV 2024] RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models
WithStomach/MINIM
ChrisWu1997/Multimodal-Shape-Completion
code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"
lin-tianyu/Stable-Diffusion-Seg
[MICCAI 2024] Codebase for "Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process"
dashishi/LDPolypVideo-Benchmark
A public endoscopic video dataset for polyp detection
zhangbingliang2019/DAPS
Official Code Implementation for "Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing" (CVPR 2025))
Warvito/generative_monai
Official implementation for "Generative AI for Medical Imaging: extending the MONAI Framework"
L-YeZhu/BoundaryDiffusion
[NeurIPS2023] BoundaryDiffusion: A learning-free method for semantic control with Diffusion Models
MICV-yonsei/CT2MRI
[MICCAI 2024 Early Acceptance] Official Pytorch Code for Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
M3DV/pulmonary-tree-labeling
[MedIA‘25] Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields
GLARKI/MedShapeNet2.0
MedShapeNet 2.0 | A Large-scale Dataset of 3D Medical Shapes | An updated version of MedShapeNet 1.0
wang-chaoyang/SemFlow
[NeurIPS 2024] SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
jrHoss/MedShapeNet-Foundation-Model
A MedShapeNet Foundation Model: Learning-Based Multi-Modal Medical Point Cloud Completion
pedr0sorio/lefusion-slicer
3DSlicer plugin for inpainting lung nodules in 3D chest CT data.
MLRadfys/Multilabel-semantic-segmentation-for-pelvic-OAR-structures
Multilabel semantic segmentation for pelvic OAR structures