suduo94 / D4M
A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
☆31Updated 8 months ago
Alternatives and similar repositories for D4M
Users that are interested in D4M are comparing it to the libraries listed below
Sorting:
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆69Updated 2 months ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated 7 months ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆90Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated 7 months ago
- Data distillation benchmark☆59Updated this week
- Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)☆47Updated last year
- ☆16Updated 11 months ago
- Code for our ICML'24 on multimodal dataset distillation☆37Updated 7 months ago
- ☆28Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 10 months ago
- Prioritize Alignment in Dataset Distillation☆20Updated 5 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆128Updated 6 months ago
- Official Implementation of paper "Distilling Long-tailed Datasets"☆14Updated 2 months ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆84Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated 11 months ago
- ☆18Updated 6 months ago
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆39Updated 4 months ago
- Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025☆27Updated 2 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆72Updated last year
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Updated 10 months ago
- ☆26Updated last year
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆47Updated last year
- [CVPR-2023] The IEEE/CVF Conference on Computer Vision and Pattern Recognition☆24Updated last year
- ☆53Updated 2 years ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆46Updated 10 months ago
- Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]☆9Updated 10 months ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆24Updated last year
- ☆114Updated last year
- ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models☆23Updated 4 months ago