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)

One-Shot GAN: Learning To Generate Samples From Single Images and Videos. - Vadim Sushko; Jürgen Gall; Anna Khoreva (CVPR Workshops, 2021)

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

Learning to Generate Novel Scene Compositions from Single Images and Videos. - Vadim Sushko; Juergen Gall; Anna Khoreva (CoRR, 2021)

Decentralized Personalized Federated Min-Max Problems. - Aleksandr Beznosikov; Vadim Sushko; Abdurakhmon Sadiev; Alexander V. Gasnikov (CoRR, 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)

Discovering Class-Specific GAN Controls for Semantic Image Synthesis. - Edgar Schönfeld; Julio Borges; Vadim Sushko; Bernt Schiele; Anna Khoreva (CVPR Workshops, 2023)

Smoothness Similarity Regularization for Few-Shot GAN Adaptation. - Vadim Sushko; Ruyu Wang; Juergen Gall (ICCV, 2023)

One-Shot Synthesis of Images and Segmentation Masks. - Vadim Sushko; Dan Zhang 003; Juergen Gall; Anna Khoreva (WACV, 2023)

Generative Adversarial Networks for Semantic Image Synthesis and Unconditional Synthesis with Limited Data. - Vadim Sushko (2024)

Generating novel scene compositions from single images and videos. - Vadim Sushko; Dan Zhang 003; Juergen Gall; Anna Khoreva (Comput. Vis. Image Underst., 2024)