Alternatives and similar repositories for MinimaxDiffusion

Users that are interested in MinimaxDiffusion are comparing it to the libraries listed below

• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆132Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆78Updated 9 months ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆104Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆71Updated 5 months ago
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• suduo94 / D4M
  A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
  ☆36Updated last year
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆93Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆20Updated last year
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• BAAI-DCAI / Training-Data-Synthesis
  [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching
  ☆78Updated last year
• mihirp1998 / Diffusion-TTA
  Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
  ☆78Updated last year
• liuzhuang13 / bias
  ☆113Updated 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 2 years ago
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆42Updated last year
• princetonvisualai / multimodal_dataset_distillation
  ☆61Updated 11 months ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆72Updated 7 months ago
• GeorgeCazenavette / glad
  ☆115Updated 2 years ago
• NUS-HPC-AI-Lab / EDF
  ☆23Updated last year
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆261Updated last year
• princetonvisualai / What-is-Dataset-Distillation-Learning
  ☆16Updated last year
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆48Updated 3 years ago
• NUS-HPC-AI-Lab / R-MeeTo
  Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token …
  ☆40Updated 11 months ago
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆20Updated last year
• bjzhb666 / GS-LoRA
  Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
  ☆68Updated 4 months ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆67Updated 3 years ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆188Updated 2 years ago
• NUS-HPC-AI-Lab / Dynamic-Tuning
  The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"
  ☆51Updated 11 months ago
• winycg / CLIP-KD
  [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation
  ☆134Updated 3 months ago