30 open-source projects similar to subin-kim-cv/csd, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
"Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling"
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
Official implementation of "DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion"
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Speed up Stable Diffusion with this one simple trick!
Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
ICML 2023 Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
AAAI23 Oral Official implementations of Video Implicit Diffusion Models
PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
Official code for "Conditional Generation from Unconditional Diffusion Models using Denoiser Representations" (BMVC 2023)
Code for Fast Training of Diffusion Models with Masked Transformers
Code for the Paper "Improving Diffusion Model Efficiency Through Patching"
Elucidating The Design Space of Classifier-Guided Diffusion Generation
ICML 2023 official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"
Official implementation of Cold-Diffusion for different transformations in pytorch.
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)
Implementation of MagViT2 Tokenizer in Pytorch
ICLR'23 Spotlight gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic