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Official implementation of Multimodal Distribution Matching for Vision-Language Dataset Distillation, a method for condensing a large vision-language dataset into smaller synthetic sets while preserving its downstream performance.
Official PyTorch implementation of the ICLR 2026 paper: "Multimodal dataset distillation made simple by prototype-guided data synthesis"
This repository includes code for : Audio Visual Dataset Distillation (TMLR 2024).
🚧 This repository is under construction 🚧
The main features of ichbill/edge are: Multimodal Distillation.
Projects with overlapping indexed features include: andyj1/mdm — Official implementation of Multimodal Distribution Matching for Vision-Language Dataset Distillation, a method for… junhyeok9712/pds — Official PyTorch implementation of the ICLR 2026 paper: "Multimodal dataset distillation made simple by… previsior/ptm-st — Multimodal Dataset Distillation via Phased Teacher Models. sakshamsingh1/avdd — This repository includes code for : Audio Visual Dataset Distillation (TMLR 2024). yongalls/covmatch — Run `` conda env create -f requirements.yaml ` and activate the conda environment ` conda activate covmatch ``.