Pingchuan Ma

18 papers A* 4Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching.
AAAI
Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2025 A* conf
Does VLM Classification Benefit from LLM Description Semantics?
AAAI
Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer
2025 J jnl
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models.
CoRR
Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Björn Ommer
2024 J jnl
DepthFM: Fast Monocular Depth Estimation with Flow Matching.
CoRR
Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2024 J jnl
Diffusion Models and Representation Learning: A Survey.
CoRR
Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer
2024 J jnl
Does VLM Classification Benefit from LLM Description Semantics?
CoRR
Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer
2024 — conf
FMBoost: Boosting Latent Diffusion with Flow Matching.
ECCV (61)
Johannes Schusterbauer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2024 — conf
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians.
ECCV (21)
Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer
2024 J jnl
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians.
CoRR
Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer
2024 — conf
ZigMa: A DiT-style Zigzag Mamba Diffusion Model.
ECCV (21)
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
2024 J jnl
ZigMa: A DiT-style Zigzag Mamba Diffusion Model.
CoRR
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
2023 J jnl
Boosting Latent Diffusion with Flow Matching.
CoRR
Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Björn Ommer
2023 A* conf
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.
CVPR
Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer
2023 J jnl
Motion Flow Matching for Human Motion Synthesis and Editing.
CoRR
Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek
2022 J jnl
Improving Deep Metric Learning by Divide and Conquer.
IEEE Trans. Pattern Anal. Mach. Intell.
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
2021 J jnl
Improving Deep Metric Learning by Divide and Conquer.
CoRR
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
2020 J jnl
A Content Transformation Block For Image Style Transfer.
CoRR
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
2019 A* conf
A Content Transformation Block for Image Style Transfer.
CVPR
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer