Search Results for author: Tatiana Gaintseva

Found 3 papers, 1 papers with code

RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement

no code implementations2 Apr 2024 Tatiana Gaintseva, Martin Benning, Gregory Slabaugh

Instead, based on CLIP embeddings of backlit and well-lit images from training data, we compute the residual vector in the embedding space as a simple difference between the mean embeddings of the well-lit and backlit images.

Image Enhancement

AI-generated text boundary detection with RoFT

no code implementations14 Nov 2023 Laida Kushnareva, Tatiana Gaintseva, German Magai, Serguei Barannikov, Dmitry Abulkhanov, Kristian Kuznetsov, Eduard Tulchinskii, Irina Piontkovskaya, Sergey Nikolenko

Due to the rapid development of large language models, people increasingly often encounter texts that may start as written by a human but continue as machine-generated.

Boundary Detection Text Detection +2

Adaptive Divergence for Rapid Adversarial Optimization

1 code implementation1 Dec 2019 Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin

Adversarial Optimization (AO) provides a reliable, practical way to match two implicitly defined distributions, one of which is usually represented by a sample of real data, and the other is defined by a generator.

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