Diffused heads: Diffusion models beat gans on talking-face generation M Stypułkowski, K Vougioukas, S He, M Zięba, S Petridis, M Pantic Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 70 | 2024 |
Aligned contrastive predictive coding J Chorowski, G Ciesielski, J Dzikowski, A Łańcucki, R Marxer, M Opala, ... Proc. Interspeech 2021, 976-980, 2021 | 27 | 2021 |
Speech driven video editing via an audio-conditioned diffusion model D Bigioi, S Basak, M Stypułkowski, M Zieba, H Jordan, R McDonnell, ... Image and Vision Computing 142, 104911, 2024 | 17 | 2024 |
Conditional invertible flow for point cloud generation M Stypułkowski, M Zamorski, M Zięba, J Chorowski arXiv preprint arXiv:1910.07344, 2019 | 15 | 2019 |
Information retrieval for zerospeech 2021: The submission by university of wroclaw J Chorowski, G Ciesielski, J Dzikowski, A Łańcucki, R Marxer, M Opala, ... Proc. Interspeech 2021, 971-975, 2021 | 14 | 2021 |
Representing point clouds with generative conditional invertible flow networks M Stypułkowski, K Kania, M Zamorski, M Zięba, T Trzciński, J Chorowski Pattern Recognition Letters 150, 26-32, 2021 | 5 | 2021 |
Continual learning on 3D point clouds with random compressed rehearsal M Zamorski, M Stypułkowski, K Karanowski, T Trzciński, M Zięba Computer Vision and Image Understanding 228, 103621, 2023 | 4 | 2023 |
Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming W Kozłowski, M Szachniewicz, M Stypułkowski, M Zięba arXiv preprint arXiv:2310.09633, 2023 | 2 | 2023 |
Self-supervised adversarial masking for 3D point cloud representation learning M Szachniewicz, W Kozłowski, M Stypułkowski, M Zięba arXiv preprint arXiv:2307.05325, 2023 | | 2023 |