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Official PyTorch implementation of the ICLR 2026 paper: "Multimodal dataset distillation made simple by prototype-guided data synthesis"
This repo contains PyTorch implementation of Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution (BPS, CVPR 2026). BPS produces a pattern-balanced condensed dataset via modeling the multiple visual pattern distribution within each class. This repo contains code for…
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.
The main features of andyj1/mdm are: Foundational Research, Multimodal Distillation.
Projects with overlapping indexed features include: becarefulofyournaoke/bps — This repo contains PyTorch implementation of Balanced Dataset Distillation via Modeling Multiple Visual Pattern… hips/hypergrad — Source code for http://arxiv.org/abs/1502.03492. ichbill/edge — 🚧 This repository is under construction 🚧. 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).