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 | 99 | 2019 |
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 | 38 | 2024 |
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 | 18 | 2021 |
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 | 9 | 2023 |
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 | 7 | 2023 |
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 | 4 | 2024 |
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 | 3 | 2024 |
Boosting Latent Diffusion with Flow Matching JS Fischer, M Gui, P Ma, N Stracke, SA Baumann, B Ommer arXiv preprint arXiv:2312.07360, 2023 | 2 | 2023 |