A unified framework for easy fine-tuning in Flow-Matching models
-
Updated
Sep 14, 2026 - Python
A unified framework for easy fine-tuning in Flow-Matching models
A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching, and distillation.
[CVPR2026] LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories
scDFM: Distributional Flow Matching for Robust Single-Cell Perturbation Prediction (ICLR 2026)
Safe mobile bimanual manipulation with flow matching policy and predictive whole-body control barrier functions.
DiT-based conditional flow model on CelebA
Low-latency C++23 runtime for robotics policies with static memory, flow matching, and deadline-aware inference.
Compact research prototype for controllable CLEVR image generation using constraint-aware flow matching, auxiliary object-position prediction, and spatial relation evaluation against a diffusion baseline.
Unified, training-free text-based image editing on flow-matching generative models
To associate your repository with the flow-matching-models topic, visit your repo's landing page and select "manage topics."