Edgar Schönfeld

According to our database, Edgar Schönfeld authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

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

2023

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

CoRR, 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