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3d-gan-pytorch

Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3dgan-release

3D Generative Adversarial Network

3dvqvae

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

android-homework

attention-codebase

Implementation of various attention mechanisms

attention3d-codebase

Implementation of 3D attention mechanisms based on https://github.com/LeftAttention/Attention-Codebase. Thanks to LeftAttetnion for sharing the implementation of 2D attention mechanisms.

autoencoderkl-mri-ct-reconstruction

awesome-diffusion-model-in-rl

A curated list of Diffusion Model in RL resources (continually updated)

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-diffusion-models-in-medical-imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

awesome-image-inpainting

A curated list of image inpainting and video inpainting papers and resources

awesome-implicit-neural-representations-in-medical-imaging

[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging

awesome-transformer-in-medical-imaging

[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

brain-mri-autoencoder

Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain

conx-notebooks

Notebooks for Conx, Deep Learning software

cssummercamp2023

SummerCamp2023

cssummercamp2024

csyutuimian2023

ddpm

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

denoisingdiffusionprobabilitymodel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

dgcnn

diff4rlsurvey

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

diffm4ri

diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

diffusion

Denoising Diffusion Probabilistic Models

diffusion-literature-for-robotics

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

distill_diffusion

Implementation of the 2023 CVPR Award Candidate: On Distillation of Guided Diffusion Models

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

dltta

[IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images