Data distillation benchmark
☆72Jun 13, 2025Updated 9 months ago
Alternatives and similar repositories for DD-Ranking
Users that are interested in DD-Ranking are comparing it to the libraries listed below
Sorting:
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆20Oct 5, 2024Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆39Sep 6, 2024Updated last year
- ☆14Apr 21, 2023Updated 2 years ago
- (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
- The official implementation of Recurrent Diffusion for Large-Scale Parameter Generation.☆78Sep 24, 2025Updated 5 months ago
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- (CVPR 2024) "Unsegment Anything by Simulating Deformation"☆29May 27, 2024Updated last year
- Code for CVPR 2024 Oral "Neural Lineage"☆17Jun 18, 2024Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆345Sep 24, 2024Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆106May 23, 2024Updated last year
- ☆17Jun 14, 2024Updated last year
- Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token …☆40Dec 18, 2024Updated last year
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆21Aug 13, 2025Updated 7 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆81Feb 24, 2025Updated last year
- ☆20Feb 24, 2025Updated last year
- Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]☆10Jul 9, 2024Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Nov 12, 2022Updated 3 years ago
- ☆11Jul 30, 2025Updated 7 months ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆15Nov 18, 2023Updated 2 years ago
- [Interspeech 2024] LiteFocus is a tool designed to accelerate diffusion-based TTA model, now implemented with the base model AudioLDM2.☆34Mar 11, 2025Updated last year
- ☆29Jun 12, 2023Updated 2 years ago
- Preview code of ECCV'24 paper "Distill Gold from Massive Ores" (BiLP)☆25Jul 6, 2024Updated last year
- Dimple, the first Discrete Diffusion Multimodal Large Language Model☆115Jul 9, 2025Updated 8 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆52Jul 8, 2024Updated last year
- The official implementation of dLLM-Var☆31Nov 6, 2025Updated 4 months ago
- PyTorch implementation of paper "StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization" in ICML 2024.☆16Jun 4, 2024Updated last year
- an official PyTorch implementation of the paper "Partial Network Cloning", CVPR 2023☆13Mar 21, 2023Updated 2 years ago
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆439Jul 16, 2024Updated last year
- [ICLR 2025] Official repository for the paper "Influence-Guided Diffusion for Dataset Distillation".☆15Feb 12, 2025Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- ☆30Apr 12, 2024Updated last year
- Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in C…☆408Dec 20, 2025Updated 3 months ago
- In this paper, we propose Filter Gradient Decent (FGD), an efficient stochastic optimization algorithm that makes a consistent estimation…☆12May 18, 2021Updated 4 years ago
- ☆63Dec 30, 2024Updated last year
- Self-Supervised Dataset Distillation for Transfer Learning☆17Apr 10, 2024Updated last year
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR …☆22Aug 20, 2024Updated last year
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Mar 14, 2023Updated 3 years ago