Pingchuan Ma

According to our database, Pingchuan Ma authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Diffusion Models and Representation Learning: A Survey.

Michael Fuest, Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation.

Johannes Schusterbauer, Ming Gui, Yusong Li, Pingchuan Ma, Felix Krause, Björn Ommer

CoRR, April, 2026

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

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

Does VLM Classification Benefit from LLM Description Semantics?

Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer

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

2024

Diffusion Models and Representation Learning: A Survey.

Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer

CoRR, 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

FMBoost: Boosting Latent Diffusion with Flow Matching.

Johannes Schusterbauer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 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

2023

Motion Flow Matching for Human Motion Synthesis and Editing.

Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek

CoRR, 2023

Boosting Latent Diffusion with Flow Matching.

Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Björn Ommer

CoRR, 2023

Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.

Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Deep Metric Learning by Divide and Conquer.

Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2019

A Content Transformation Block for Image Style Transfer.

Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019