vimar-gu / MinimaxDiffusionLinks
[CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
☆104Updated last year
Alternatives and similar repositories for MinimaxDiffusion
Users that are interested in MinimaxDiffusion are comparing it to the libraries listed below
Sorting:
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆134Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆80Updated 10 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆105Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆38Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆94Updated last year
- Data distillation benchmark☆71Updated 6 months ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆43Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆20Updated last year
- ☆115Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated last year
- ☆113Updated last year
- ☆16Updated last year
- ☆62Updated 11 months ago
- Prioritize Alignment in Dataset Distillation☆20Updated last year
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆78Updated 2 years ago
- [ICCV2023] Dataset Quantization☆261Updated last year
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆17Updated 4 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token …☆40Updated last year
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆190Updated 2 years ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆79Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆72Updated 8 months ago
- Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)☆49Updated 2 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Updated 3 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆197Updated 2 years ago
- Continual Forgetting for Pre-trained Vision Models (CVPR 2024)☆68Updated this week
- ☆23Updated last year