Paper: Generating Clean Samples from Noisy Datasets via Flow Matching
kwangmoo_yi · x · 2026-08-05
Kwangmoo Yi highlighted the paper 'Noise-Robust Conditional Flow Matching: Generating Clean Samples from Noisy Datasets' by Urbanski, Maggiora et al.\n\nAddressing the common issue of noise in real-world data, the authors propose folding sensory noise directly into the flow model. This approach not only models the noise effectively but also allows for early stopping in the denoising process to mitigate negative impacts.
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