Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. - Edgar Schönfeld; Sayna Ebrahimi; Samarth Sinha; Trevor Darrell; Zeynep Akata (CVPR, 2019)

Generalized Zero-Shot Learning via Aligned Variational Autoencoders. - Edgar Schönfeld; Sayna Ebrahimi; Samarth Sinha; Trevor Darrell; Zeynep Akata (CVPR Workshops, 2019)

A U-Net Based Discriminator for Generative Adversarial Networks. - Edgar Schönfeld; Bernt Schiele; Anna Khoreva (CVPR, 2020)

3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis. - Vadim Sushko; Edgar Schönfeld; Dan Zhang 003; Jürgen Gall; Bernt Schiele; Anna Khoreva (ECCV Workshops (6), 2020)

You Only Need Adversarial Supervision for Semantic Image Synthesis. - Edgar Schönfeld; Vadim Sushko; Dan Zhang 003; Juergen Gall; Bernt Schiele; Anna Khoreva (ICLR, 2021)

OASIS: Only Adversarial Supervision for Semantic Image Synthesis. - Vadim Sushko; Edgar Schönfeld; Dan Zhang 003; Juergen Gall; Bernt Schiele; Anna Khoreva (Int. J. Comput. Vis., 2022)

Improving quality and controllability in GAN-based image synthesis. - Edgar Schönfeld (2022)

Discovering Class-Specific GAN Controls for Semantic Image Synthesis. - Edgar Schönfeld; Julio Borges; Vadim Sushko; Bernt Schiele; Anna Khoreva (CVPR Workshops, 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 001; Daniel Cremers; et al. (CVPR, 2024)

Animated Stickers: Bringing Stickers to Life with Video Diffusion. - David Yan; Winnie Zhang; Luxin Zhang; Anmol Kalia; Dingkang Wang; Ankit Ramchandani; Miao Liu 007; Albert Pumarola; Edgar Schönfeld; Elliot Blanchard; Krishna Narni; Yaqiao Luo; et al. (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)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi 002; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

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 (CVPR, 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 (CVPR, 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 (ICLR, 2025)