Daniil-Selikhanovych/ASBM
PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)
This project offers a sophisticated method for transforming one collection of images into another, even when there's no direct correspondence between individual images. It takes a dataset of images from a source domain (e.g., photos of males) and a dataset from a target domain (e.g., photos of females), and produces a model that can convert images from the source style to the target style. This is primarily useful for machine learning researchers and practitioners working on advanced image-to-image translation problems.
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Use this if you need to perform high-quality, unpaired image-to-image translation between two distinct visual domains.
Not ideal if you are looking for a simple, out-of-the-box solution for basic image editing or style transfer with direct input-output pairs.
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Jun 02, 2025
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