Alternatives and similar repositories for truncated-diffusion-probabilistic-models

Users that are interested in truncated-diffusion-probabilistic-models are comparing it to the libraries listed below

• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆49Updated 2 years ago
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆180Updated last year
• ZGCTroy / ED-DPM
  classifier guidance rescale for class-conditional image generation
  ☆45Updated 2 years ago
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆66Updated last year
• alsdudrla10 / DG
  Official repo for Discriminator Guidance.
  ☆165Updated 8 months ago
• xh-liu / SDG_code
  ☆96Updated 2 years ago
• GuoQiushan / EGC
  ☆45Updated 2 years ago
• forever208 / EDM-ES
  [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'
  ☆27Updated last year
• mkshing / DiffFit-pytorch
  Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"
  ☆92Updated 2 years ago
• kobeshegu / awesome-few-shot-generation
  [IJCV-2025] A curated list of awesome few-shot image generation papers
  ☆82Updated 2 years ago
• forever208 / DDPM-IP
  [ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"
  ☆119Updated 6 months ago
• ericl122333 / PatchDiffusion-Pytorch
  Code for the Paper "Improving Diffusion Model Efficiency Through Patching"
  ☆114Updated last year
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆96Updated last year
• yue-zhongqi / diti
  Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
  ☆31Updated last year
• Zhendong-Wang / Patch-Diffusion
  ☆99Updated last year
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆208Updated 2 years ago
• Michedev / DDPMs-Pytorch
  Implementation of various DDPM papers to understand how they work
  ☆89Updated 6 months ago
• georgosgeorgos / few-shot-diffusion-models
  Few-Shot Diffusion Models
  ☆108Updated 2 years ago
• karrykkk / BayesDiff
  ☆33Updated last year
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆54Updated last year
• jychoi118 / P2-weighting
  CVPR 2022
  ☆150Updated last year
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆96Updated last year
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• WentianZhang-ML / AdaptiveMix
  This is an official pytorch implementation of 'AdaptiveMix: Robust Feature Representation via Shrinking Feature Space' (accepted by CVPR2…
  ☆39Updated 2 years ago
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆98Updated 11 months ago
• Jiahao000 / MFM
  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training
  ☆78Updated 2 years ago
• soumik-kanad / diffssl
  Code for the paper "Do text-free diffusion models learn discriminative visual representations?"
  ☆27Updated last year
• sail-sg / FDM
  The official PyTorch implementation of Fast Diffusion Model
  ☆95Updated 2 years ago
• dongzhuoyao / self-guided-diffusion-models
  An official implementation of CVPR 2023 "Self-Guided Diffusion Models"
  ☆27Updated 2 years ago
• JiauZhang / binary-latent-diffusion
  Implementation of Binary Latent Diffusion
  ☆51Updated 2 years ago