Gui, Ming

9 publications

AAAI 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

CVPR 2025 Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment Johannes Schusterbauer, Ming Gui, Frank Fundel, Björn Ommer

NeurIPS 2025 DisMo: Disentangled Motion Representations for Open-World Motion Transfer Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya, Stefan Andreas Baumann, Felix Krause, Ming Gui, Björn Ommer

ICCV 2025 SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Björn Ommer

ICCV 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

ICCV 2025 TREAD: Token Routing for Efficient Architecture-Agnostic Diffusion Training Felix Krause, Timy Phan, Ming Gui, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

ECCV 2024 FMBoost: Boosting Latent Diffusion with Flow Matching Johannes S Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

ECCV 2024 ZigMa: A DiT-Style Zigzag Mamba Diffusion Model Vincent Tao Hu, Stefan A Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S Fischer, Bjorn Ommer

ICMLW 2024 ZigMa: A DiT-Style Zigzag Mamba Diffusion Model Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes Schusterbauer, Björn Ommer