[AAAI 2025, Oral] DepthFM: Fast Monocular Depth Estimation with Flow Matching
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Updated
May 6, 2025 - Jupyter Notebook
[AAAI 2025, Oral] DepthFM: Fast Monocular Depth Estimation with Flow Matching
Official implementation of the pre-print "Coupled Fragment-Based Generative Modeling with Stochastic Interpolants" by Tuan Le, Yanfei Guan, Djork-Arné Clevert and Kristof T. Schütt.
Experiment code for 'Are we really tilting? The mechanics of reward guidance in flow and diffusion models' — plug-in Doob h-transform sampling, reward damping, best-of-n, and flow map reward guidance for Gaussian mixtures, a 2D checkerboard, and FLUX.1 text-to-image generation.
RectForge - deterministic pure-NumPy flow matching / rectified flow / stochastic interpolants foundry. Author: 晨星
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