[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

MICCAI 2023 & Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Adaptive Latent Diffusion Model for 3D Medical Image

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.

Soft Masked Mamba Diffusion Model for CT to MRI Conversion (Official PyTorch Implementation)

X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

[MICCAI-2023] ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Implementation of Medfusion - A latent diffusion model for medical image synthesis.

[CVPR 2023] Label-Free Liver Tumor Segmentation

Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis

Repository for the publication "Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets"

Code to implement "Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation"

ECCV 2024 & GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

PyTorch implementation for "WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis" (DGM4MICCAI 2024)

[CVPR 2024] Generalizable Tumor Synthesis - Realistic Synthetic Tumors in Liver, Pancreas, and Kidney

Generative Enhancement for 3D Medical Images