Sequential Attacks on Agents for Long-Term Adversarial Goals. - Edgar Tretschk; Seong Joon Oh; Mario Fritz (CoRR, 2018)

DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies. - Soshi Shimada; Vladislav Golyanik; Edgar Tretschk; Didier Stricker; Christian Theobalt (3DV, 2019)

Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints. - Vikramjit Sidhu; Edgar Tretschk; Vladislav Golyanik; Antonio Agudo; Christian Theobalt (ECCV (16), 2020)

PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations. - Edgar Tretschk; Ayush Tewari; Vladislav Golyanik; Michael Zollhöfer; Carsten Stoll; Christian Theobalt (ECCV (16), 2020)

DEMEA: Deep Mesh Autoencoders for Non-rigidly Deforming Objects. - Edgar Tretschk; Ayush Tewari; Michael Zollhöfer; Vladislav Golyanik; Christian Theobalt (ECCV (4), 2020)

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. - Edgar Tretschk; Ayush Tewari; Vladislav Golyanik; Michael Zollhöfer; Christoph Lassner; Christian Theobalt (CoRR, 2020)

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video. - Edgar Tretschk; Ayush Tewari; Vladislav Golyanik; Michael Zollhöfer; Christoph Lassner; Christian Theobalt (ICCV, 2021)

Advances in neural rendering. - Ayush Tewari; Ohad Fried; Justus Thies; Vincent Sitzmann; Stephen Lombardi; Zexiang Xu; Tomas Simon; Matthias Nießner; Edgar Tretschk; Lingjie Liu; Ben Mildenhall; Pratul P. Srinivasan; et al. (SIGGRAPH Courses, 2021)

Virtual Elastic Objects. - Hsiao-Yu Chen; Edith Tretschk; Tuur Stuyck; Petr Kadlecek; Ladislav Kavan; Etienne Vouga; Christoph Lassner (CVPR, 2022)

$ phi$-SfT: Shape-from-Template with a Physics-Based Deformation Model. - Navami Kairanda; Edith Tretschk; Mohamed Elgharib; Christian Theobalt; Vladislav Golyanik (CVPR, 2022)

Generation of Truly Random Numbers on a Quantum Annealer. - Harshil Bhatia; Edith Tretschk; Christian Theobalt; Vladislav Golyanik (IEEE Access, 2022)

Advances in Neural Rendering. - Ayush Tewari; Justus Thies; Ben Mildenhall; Pratul P. Srinivasan; Edgar Tretschk; Yifan Wang 011; Christoph Lassner; Vincent Sitzmann; Ricardo Martin-Brualla; Stephen Lombardi; Tomas Simon; Christian Theobalt; et al. (Comput. Graph. Forum, 2022)

φ-SfT: Shape-from-Template with a Physics-Based Deformation Model. - Navami Kairanda; Edith Tretschk; Mohamed Elgharib; Christian Theobalt; Vladislav Golyanik (CoRR, 2022)

Fully Quantum Auto-Encoding of 3D Shapes. - Lakshika Rathi; Edith Tretschk; Christian Theobalt; Rishabh Dabral; Vladislav Golyanik (BMVC, 2023)

CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes. - Harshil Bhatia; Edith Tretschk; Zorah Lähner; Marcel Seelbach Benkner; Michael Moeller 001; Christian Theobalt; Vladislav Golyanik (CVPR, 2023)

QuAnt: Quantum Annealing with Learnt Couplings. - Marcel Seelbach Benkner; Maximilian Krahn; Edith Tretschk; Zorah Lähner; Michael Moeller 001; Vladislav Golyanik (ICLR, 2023)

3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds. - Lakshika Rathi; Edith Tretschk; Christian Theobalt; Rishabh Dabral; Vladislav Golyanik (CoRR, 2023)

Representing and reconstructing general non-rigid objects with neural models. - Edith Tretschk (2023)

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. - Edith Tretschk; Navami Kairanda; Mallikarjun B. R. 001; Rishabh Dabral; Adam Kortylewski; Bernhard Egger 001; Marc Habermann; Pascal Fua; Christian Theobalt; Vladislav Golyanik (Comput. Graph. Forum, 2023)

SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes. - Edith Tretschk; Vladislav Golyanik; Michael Zollhöfer; Aljaz Bozic; Christoph Lassner; Christian Theobalt (3DV, 2024)