Quelles sont les fonctionnalités principales de cvlab-stonybrook/fewshot-conditional-diffusion ?

Les fonctionnalités principales de cvlab-stonybrook/fewshot-conditional-diffusion sont : Diffusion Model Research, Classification, Generation.

Quelles sont les alternatives open-source à cvlab-stonybrook/fewshot-conditional-diffusion ?

Les alternatives open-source à cvlab-stonybrook/fewshot-conditional-diffusion incluent : anima-lab/maskdit — Code for Fast Training of Diffusion Models with Masked Transformers. baofff/extended-analytic-dpm — Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models… andyshih12/paradigms — PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight. alexmaols/elucd — Elucidating The Design Space of Classifier-Guided Diffusion Generation. arpitbansal297/cold-diffusion-models — Official implementation of Cold-Diffusion for different transformations in pytorch. cognaclee/dpm-ot.

Fewshot Conditional Diffusion - Official code

Name: cvlab-stonybrook/fewshot-conditional-diffusion
Author: cvlab-stonybrook

Official code for "Conditional Generation from Unconditional Diffusion Models using Denoiser Representations" (BMVC 2023)

Features

Diffusion Model Research - Conditional generation using denoiser representations.
Classification - Listed in the “Classification” section of the Awesome Diffusion Models awesome list.
Generation - Listed in the “Generation” section of the Awesome Diffusion Models awesome list.

Historique des stars

Official code for "Conditional Generation from Unconditional Diffusion Models using Denoiser Representations" (BMVC 2023)

Features

Diffusion Model Research - Conditional generation using denoiser representations.
Classification - Listed in the “Classification” section of the Awesome Diffusion Models awesome list.
Generation - Listed in the “Generation” section of the Awesome Diffusion Models awesome list.

AndyShih12/paradigms

157Voir sur GitHub

PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight

Anima-Lab/MaskDiT

426Voir sur GitHub

Code for Fast Training of Diffusion Models with Masked Transformers

alexmaols/elucd

33Voir sur GitHub

Elucidating The Design Space of Classifier-Guided Diffusion Generation

arpitbansal297/Cold-Diffusion-Models

1,127Voir sur GitHub

Official implementation of Cold-Diffusion for different transformations in pytorch.