[AAAI 2025, Oral] DepthFM: Fast Monocular Depth Estimation with Flow Matching
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May 6, 2025 - Jupyter Notebook
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stochastic-interpolants
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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.
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Apr 28, 2026 - Jupyter Notebook
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.
flux text-to-image generative-models best-of-n diffusion-models flow-matching stochastic-interpolants reward-hacking reward-guidance doob-h-transform
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May 7, 2026 - Python
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