Olga Grebenkova

According to our database, Olga Grebenkova authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Guiding Token-Sparse Diffusion Models.

Felix Krause, Stefan Andreas Baumann, Johannes Schusterbauer, Olga Grebenkova, Ming Gui, Vincent Tao Hu, Björn Ommer

CoRR, January, 2026

2025

EDGS: Eliminating Densification for Efficient Convergence of 3DGS.

Dmytro Kotovenko, Olga Grebenkova, Björn Ommer

CoRR, April, 2025

Stochastic Interpolants for Revealing Stylistic Flows Across the History of Art.

Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Xiaopei Yang, Olga Grebenkova, Vincent Tao Hu, Björn Ommer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching.

Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

DepthFM: Fast Monocular Depth Estimation with Flow Matching.

Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

CoRR, 2024

WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians.

Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 2024

ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 2024