Author

E. Gavves

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Preprint Jul 2026

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation

Terminal points Avoidance through Noise Guided Optimization (TANGO) is introduced, which uses the diffusion model as a critic of its own outputs, by predicting one step forward and requiring an isotropic Gaussian noise prediction.

Dimitrios Karageorgiou, Symeon Papadopoulos, Ioannis Kompatsiaris et al. · 0 citations

Quasibinary Classiﬁer for Images with Zero and Multiple Labels

It is shown in a variety of image classiﬁcation settings and on several datasets, that quasibinary classiﬁers are considerably better in classiﬁcation settings where regular binary and softmax classiﬁers suffer, including zero-label and multi-label classiﬁcation.

Shuai Liao, E. Gavves, Changyong Oh et al. · 0 citations