Alternatives and similar repositories for Awesome-Generative-Model

Users that are interested in Awesome-Generative-Model are comparing it to the libraries listed below

• yue-zhongqi / diti
  Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
  ☆31Updated last year
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆54Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆88Updated last year
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆182Updated last year
• GeorgeCazenavette / glad
  ☆115Updated 2 years ago
• kobeshegu / awesome-few-shot-generation
  [IJCV-2025] A curated list of awesome few-shot image generation papers
  ☆82Updated 2 years ago
• CVMI-Lab / SyntheticData
  Is synthetic data from generative models ready for image recognition?
  ☆184Updated 2 years ago
• mwxely / AIGS
  AI-Generated Images as Data Source: The Dawn of Synthetic Era
  ☆153Updated last year
• mkshing / DiffFit-pytorch
  Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"
  ☆93Updated 2 years ago
• yu-rp / Distribution-Shift-Iverson
  ☆41Updated 2 years ago
• JegZheng / truncated-diffusion-probabilistic-models
  Pytorch implementation of TDPM
  ☆35Updated 2 years ago
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆83Updated last year
• yunqing-me / RICK
  [CVPR-2023] The IEEE/CVF Conference on Computer Vision and Pattern Recognition
  ☆24Updated 2 years ago
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆95Updated last year
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• MingSun-Tse / smilelogging
  Python logging package for easy reproducible experimenting in research
  ☆41Updated 3 months ago
• mihirp1998 / Diffusion-TTA
  Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
  ☆76Updated last year
• zhenxingjian / Partial_Distance_Correlation
  This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
  ☆175Updated 2 years ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆71Updated 6 months ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆208Updated 2 years ago
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆96Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆75Updated 8 months ago
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated last year
• zhengli97 / DM-KD
  Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)
  ☆49Updated last year
• cvpr2023-tutorial-diffusion-models / papers
  ☆212Updated 2 years ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆67Updated 2 years ago
• xh-liu / SDG_code
  ☆96Updated 2 years ago
• liuzhuang13 / bias
  ☆112Updated last year
• ZGCTroy / ED-DPM
  classifier guidance rescale for class-conditional image generation
  ☆45Updated 2 years ago
• Alokia / Idempotent-Generative-Network
  Idempotent Generative Network's unofficial pytorch implementation
  ☆46Updated last year