☆114May 22, 2023Updated 2 years ago
Alternatives and similar repositories for glad
Users that are interested in glad are comparing it to the libraries listed below
Sorting:
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 2 years ago
- ☆24Oct 31, 2023Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- ☆30Apr 12, 2024Updated last year
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆437Jul 16, 2024Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Mar 22, 2024Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- Code for our ICML'24 on multimodal dataset distillation☆43Oct 11, 2024Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆81Feb 24, 2025Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆138Nov 15, 2024Updated last year
- ☆20Feb 24, 2025Updated last year
- ☆63Dec 30, 2024Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- ☆29Jun 12, 2023Updated 2 years ago
- ☆15May 28, 2024Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Nov 12, 2022Updated 3 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Feb 24, 2023Updated 3 years ago
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆39Sep 6, 2024Updated last year
- ☆91Jan 22, 2023Updated 3 years ago
- Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]☆10Jul 9, 2024Updated last year
- The Third Place Winner in Generative Track of the ECCV 2024 DD Challenge☆10Oct 11, 2024Updated last year
- ☆27Jul 1, 2024Updated last year
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆15Nov 18, 2023Updated 2 years ago
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆15May 18, 2024Updated last year
- Official implementation of Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement.☆31Dec 21, 2025Updated 2 months ago
- Data distillation benchmark☆72Jun 13, 2025Updated 8 months ago
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- [ECCV 2022] FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs☆22Nov 16, 2022Updated 3 years ago
- This is a repository for my work on the paper "Oracle Guided Image Synthesis with Relative Queries".☆24May 6, 2022Updated 3 years ago
- ☆30May 21, 2024Updated last year
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated 2 years ago
- Official Repository for Heterogeneous Models Dataset Condensation (ECCV 2024, Oral)☆10Dec 15, 2024Updated last year
- ☆10Nov 21, 2023Updated 2 years ago
- Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution☆10May 7, 2024Updated last year
- A method to generate counterfactuals☆12Feb 24, 2026Updated last week
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆11Jun 16, 2024Updated last year