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2020 – today
- 2024
[c7]Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang:
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CVPR 2024: 6211-6220- [i7]David Yan, Winnie Zhang, Luxin Zhang, Anmol Kalia, Dingkang Wang, Ankit Ramchandani, Miao Liu, Albert Pumarola, Edgar Schönfeld, Elliot Blanchard, Krishna Narni, Yaqiao Luo, Lawrence Chen, Guan Pang, Ali K. Thabet, Peter Vajda, Amy Bearman, Licheng Yu:
Animated Stickers: Bringing Stickers to Life with Video Diffusion. CoRR abs/2402.06088 (2024) - [i6]Jonas Kohler, Albert Pumarola, Edgar Schönfeld, Artsiom Sanakoyeu, Roshan Sumbaly, Peter Vajda, Ali K. Thabet:
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation. CoRR abs/2405.05224 (2024) - 2023
- [c6]Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva:
Discovering Class-Specific GAN Controls for Semantic Image Synthesis. CVPR Workshops 2023: 688-697 - [i5]Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang:
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR abs/2312.03209 (2023) - 2022
- [b1]Edgar Schönfeld:
Improving quality and controllability in GAN-based image synthesis. Saarland University, Saarbrücken, Germany, 2022 - [j1]Vadim Sushko
, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva:
OASIS: Only Adversarial Supervision for Semantic Image Synthesis. Int. J. Comput. Vis. 130(12): 2903-2923 (2022) - [i4]Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva:
Discovering Class-Specific GAN Controls for Semantic Image Synthesis. CoRR abs/2212.01455 (2022) - 2021
- [c5]Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. ICLR 2021 - 2020
- [c4]Edgar Schönfeld, Bernt Schiele, Anna Khoreva:
A U-Net Based Discriminator for Generative Adversarial Networks. CVPR 2020: 8204-8213 - [c3]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis. ECCV Workshops (6) 2020: 554-558 - [i3]Edgar Schönfeld, Bernt Schiele, Anna Khoreva:
A U-Net Based Discriminator for Generative Adversarial Networks. CoRR abs/2002.12655 (2020) - [i2]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. CoRR abs/2012.04781 (2020)
2010 – 2019
- 2019
- [c2]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero-Shot Learning via Aligned Variational Autoencoders. CVPR Workshops 2019: 54-57 - [c1]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019: 8247-8255 - 2018
- [i1]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CoRR abs/1812.01784 (2018)
Coauthor Index
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