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Pingchuan Ma
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A content transformation block for image style transfer
D Kotovenko, A Sanakoyeu, P Ma, S Lang, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1002019
Zigma: Zigzag mamba diffusion model
VT Hu, SA Baumann, M Gui, O Grebenkova, P Ma, J Fischer, B Ommer
arXiv preprint arXiv:2403.13802, 2024
70*2024
Depthfm: Fast monocular depth estimation with flow matching
M Gui, JS Fischer, U Prestel, P Ma, D Kotovenko, O Grebenkova, ...
arXiv preprint arXiv:2403.13788, 2024
232024
Improving deep metric learning by divide and conquer
A Sanakoyeu, P Ma, V Tschernezki, B Ommer
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8306 …, 2021
182021
Motion flow matching for human motion synthesis and editing
VT Hu, W Yin, P Ma, Y Chen, B Fernando, YM Asano, E Gavves, P Mettes, ...
arXiv preprint arXiv:2312.08895, 2023
132023
Diffusion models and representation learning: A survey
M Fuest, P Ma, M Gui, JS Fischer, VT Hu, B Ommer
arXiv preprint arXiv:2407.00783, 2024
82024
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning
D Kotovenko, P Ma, T Milbich, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
Boosting Latent Diffusion with Flow Matching
JS Fischer, M Gui, P Ma, N Stracke, SA Baumann, B Ommer
arXiv preprint arXiv:2312.07360, 2023
62023
Does VLM Classification Benefit from LLM Description Semantics?
P Ma, L Rietdorf, D Kotovenko, VT Hu, B Ommer
arXiv preprint arXiv:2412.11917, 2024
2024
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Articles 1–9