A Style-Aware Content Loss for Real-Time HD Style Transfer. - Artsiom Sanakoyeu; Dmytro Kotovenko; Sabine Lang; Björn Ommer (ECCV (8), 2018)

A Content Transformation Block for Image Style Transfer. - Dmytro Kotovenko; Artsiom Sanakoyeu; Pingchuan Ma 006; Sabine Lang; Björn Ommer (CVPR, 2019)

Content and Style Disentanglement for Artistic Style Transfer. - Dmytro Kotovenko; Artsiom Sanakoyeu; Sabine Lang; Björn Ommer (ICCV, 2019)

Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. - Dmytro Kotovenko; Matthias Wright; Arthur Heimbrecht; Björn Ommer (CVPR, 2021)

Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. - Dmytro Kotovenko; Pingchuan Ma 006; Timo Milbich; Björn Ommer (CVPR, 2023)

WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians. - Dmytro Kotovenko; Olga Grebenkova; Nikolaos Sarafianos; Avinash Paliwal; Pingchuan Ma 006; Omid Poursaeed; Sreyas Mohan; Yuchen Fan; Yilei Li; Rakesh Ranjan; Björn Ommer (ECCV (21), 2024)

CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians. - Avinash Paliwal; Wei Ye 008; Jinhui Xiong; Dmytro Kotovenko; Rakesh Ranjan; Vikas Chandra; Nima Khademi Kalantari (ECCV (30), 2024)

DepthFM: Fast Monocular Depth Estimation with Flow Matching. - Ming Gui; Johannes S. Fischer; Ulrich Prestel; Pingchuan Ma 006; Dmytro Kotovenko; Olga Grebenkova; Stefan Andreas Baumann; Vincent Tao Hu; Björn Ommer (CoRR, 2024)

Does VLM Classification Benefit from LLM Description Semantics? - Pingchuan Ma 006; Lennart Rietdorf; Dmytro Kotovenko; Vincent Tao Hu; Björn Ommer (AAAI, 2025)

DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching. - Ming Gui; Johannes Schusterbauer; Ulrich Prestel; Pingchuan Ma 006; Dmytro Kotovenko; Olga Grebenkova; Stefan Andreas Baumann; Vincent Tao Hu; Björn Ommer (AAAI, 2025)

EDGS: Eliminating Densification for Efficient Convergence of 3DGS. - Dmytro Kotovenko; Olga Grebenkova; Björn Ommer (CoRR, 2025)