Search Results for author: Edgar Schönfeld

Found 3 papers, 3 papers with code

You Only Need Adversarial Supervision for Semantic Image Synthesis

1 code implementation ICLR 2021 Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva

By providing stronger supervision to the discriminator as well as to the generator through spatially- and semantically-aware discriminator feedback, we are able to synthesize images of higher fidelity with better alignment to their input label maps, making the use of the perceptual loss superfluous.

Image Generation Semantic Segmentation

A U-Net Based Discriminator for Generative Adversarial Networks

2 code implementations28 Feb 2020 Edgar Schönfeld, Bernt Schiele, Anna Khoreva

The novel discriminator improves over the state of the art in terms of the standard distribution and image quality metrics, enabling the generator to synthesize images with varying structure, appearance and levels of detail, maintaining global and local realism.

Conditional Image Generation Data Augmentation

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

2 code implementations5 Dec 2018 Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

Many approaches in generalized zero-shot learning rely on cross-modal mapping between the image feature space and the class embedding space.

Few-Shot Learning Generalized Zero-Shot Learning

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