NVIDIA FastGen: Fast Generation from Diffusion Models
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.
[ICLR 2026] scDFM: Distributional Flow Matching for Robust Single-Cell Perturbation Prediction
[CVPR2026] LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories
Low-latency C++23 runtime for robotics policies with static memory, flow matching, and deadline-aware inference.
Safe mobile bimanual manipulation with flow matching policy and predictive whole-body control barrier functions
DiT-based conditional flow model on CelebA
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.
A tutorial and resource hub for Flow Matching in Reinforcement Learning (FM-RL), accompanying our TMLR survey. Includes an introduction to FM-RL, a curated collection of papers, method taxonomy, code repositories, and resources for researchers and newcomers to the field.
Unified, training-free text-based image editing on flow-matching generative models
Binary Latent Diffusion and Bernoulli Flow Model for image generation in binary latent space
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