Edgar Schönfeld

According to our database, Edgar Schönfeld authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment.

Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schönfeld, Ali K. Thabet, Jonas Kohler

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Autoregressive Distillation of Diffusion Transformers.

Yeongmin Kim, Sotiris Anagnostidis, Yuming Du, Edgar Schönfeld, Jonas Kohler, Markos Georgopoulos, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute.

Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali K. Thabet, Edgar Schönfeld

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Movie Gen: A Cast of Media Foundation Models.

Adam Polyak, Amit Zohar, Andrew Brown, Andros Tjandra, Animesh Sinha, Ann Lee, Apoorv Vyas, Bowen Shi, Chih-Yao Ma, Ching-Yao Chuang, David Yan, Dhruv Choudhary, Dingkang Wang, Geet Sethi, Guan Pang, Haoyu Ma, Ishan Misra, Ji Hou, Jialiang Wang, Kiran Jagadeesh, Kunpeng Li, Luxin Zhang, Mannat Singh, Mary Williamson, Matt Le, Matthew Yu, Mitesh Kumar Singh, Peizhao Zhang, Peter Vajda, Quentin Duval, Rohit Girdhar, Roshan Sumbaly, Sai Saketh Rambhatla, Sam S. Tsai, Samaneh Azadi, Samyak Datta, Sanyuan Chen, Sean Bell, Sharadh Ramaswamy, Shelly Sheynin, Siddharth Bhattacharya, Simran Motwani, Tao Xu, Tianhe Li, Tingbo Hou, Wei-Ning Hsu, Xi Yin, Xiaoliang Dai, Yaniv Taigman, Yaqiao Luo, Yen-Cheng Liu, Yi-Chiao Wu, Yue Zhao, Yuval Kirstain, Zecheng He, Zijian He, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu, Arun Mallya, Baishan Guo, Boris Araya, Breena Kerr, Carleigh Wood, Ce Liu, Cen Peng, Dmitry Vengertsev, Edgar Schönfeld, Elliot Blanchard, Felix Juefei-Xu, Fraylie Nord, Jeff Liang, John Hoffman, Jonas Kohler, Kaolin Fire, Karthik Sivakumar, Lawrence Chen, Licheng Yu, Luya Gao, Markos Georgopoulos, Rashel Moritz, Sara K. Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, Yuming Du

CoRR, 2024

Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation.

Jonas Kohler, Albert Pumarola, Edgar Schönfeld, Artsiom Sanakoyeu, Roshan Sumbaly, Peter Vajda, Ali K. Thabet

CoRR, 2024

Animated Stickers: Bringing Stickers to Life with Video Diffusion.

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

CoRR, 2024

Cache Me if You Can: Accelerating Diffusion Models through Block Caching.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Discovering Class-Specific GAN Controls for Semantic Image Synthesis.

Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva

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

2022

Improving quality and controllability in GAN-based image synthesis.

Edgar Schönfeld

PhD thesis, 2022

OASIS: Only Adversarial Supervision for Semantic Image Synthesis.

Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva

Int. J. Comput. Vis., 2022

2021

You Only Need Adversarial Supervision for Semantic Image Synthesis.

Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis.

Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

A U-Net Based Discriminator for Generative Adversarial Networks.

Edgar Schönfeld, Bernt Schiele, Anna Khoreva

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Generalized Zero-Shot Learning via Aligned Variational Autoencoders.

Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

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

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders.

Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

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