30 open-source projects similar to nachifur/rddm, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best RDDM alternative.
Official implementation of Cold-Diffusion for different transformations in pytorch.
Official code for "Conditional Generation from Unconditional Diffusion Models using Denoiser Representations" (BMVC 2023)
The repository contains reproducible PyTorch source code of our paper Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. We present the first framework to solve general inverse problems leveraging pre-trained latent diffusion models. Previously proposed…
Implementation of MagViT2 Tokenizer in Pytorch
Code for the Paper "Improving Diffusion Model Efficiency Through Patching"
DiT is a latent diffusion model and transformer-based generative AI framework implemented in PyTorch. It functions as a class-conditional image generator that replaces traditional convolutional backbones with a transformer architecture to synthesize high-fidelity images. The project utilizes patch-based latent processing and latent space compression to operate on low-dimensional image representations. It incorporates class-conditional guidance and adjustable guidance scales to control the visual content of generated images during the sampling process. The framework covers distributed model t
Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
"Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling"
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
This is the code repository of the following paper to train and perform inference with patch-based diffusion models for image restoration under adverse weather conditions.
Elucidating The Design Space of Classifier-Guided Diffusion Generation
Speed up Stable Diffusion with this one simple trick!
Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a reimplementation of Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022)
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön Department of Information Technology, Uppsala University
ICML 2023 official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"
The code and pre-trained models of the paper "Image Deblurring based on Diffusion Models" will be released in this repository.
PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
Official implementation of "DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion"
Code for Fast Training of Diffusion Models with Masked Transformers
ICML 2023 Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
AAAI23 Oral Official implementations of Video Implicit Diffusion Models