David Futschik

According to our database, David Futschik authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Archon: A Unified Multimodal Model for Holistic Digital Human Generation.

Chong Bao, Shichen Liu, Lijun Yu, David Futschik, Stylianos Moschoglou, Shefali Srivastava, Ziqian Bai, Feitong Tan, Guofeng Zhang, Zhaopeng Cui, Sean Fanello, Yinda Zhang

CoRR, May, 2026

2025

S^2VG: 3D Stereoscopic and Spatial Video Generation via Denoising Frame Matrix.

Peng Dai, Feitong Tan, Qiangeng Xu, Yihua Huang, David Futschik, Ruofei Du, Sean Fanello, Yinda Zhang, Xiaojuan Qi

CoRR, August, 2025

StructuReiser: A Structure-preserving Video Stylization Method.

Radim Spetlík, David Futschik, Daniel Sýkora

Comput. Graph. Forum, 2025

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix.

Peng Dai, Feitong Tan, Qiangeng Xu, David Futschik, Ruofei Du, Sean Fanello, Xiaojuan Qi, Yinda Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

EVER: Exact Volumetric Ellipsoid Rendering for Real-Time View Synthesis.

Alexander Mai, Peter Hedman, George Kopanas, Dor Verbin, David Futschik, Qiangeng Xu, Falko Kuester, Jonathan T. Barron, Yinda Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

StyleReiser: Stylizing Video With Reinforced Structure Guide.

Radim Spetlík, David Futschik, Daniel Sýkora

CoRR, 2024

2023

Využití strojového učení v doméně umělecké stylizace ; Leveraging machine learning for artistic stylization.

David Futschik

PhD thesis, 2023

Diffusion Image Analogies.

Adéla Subrtová, Michal Lukác, Jan Cech, David Futschik, Eli Shechtman, Daniel Sýkora

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Controllable Light Diffusion for Portraits.

David Futschik, Kelvin Ritland, James Vecore, Sean Fanello, Sergio Orts-Escolano, Brian Curless, Daniel Sýkora, Rohit Pandey

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ChunkyGAN: Real Image Inversion via Segments.

Adéla Subrtová, David Futschik, Jan Cech, Michal Lukác, Eli Shechtman, Daniel Sýkora

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Real Image Inversion via Segments.

David Futschik, Michal Lukác, Eli Shechtman, Daniel Sýkora

CoRR, 2021

STALP: Style Transfer with Auxiliary Limited Pairing.

David Futschik, Michal Kucera, Michal Lukác, Zhaowen Wang, Eli Shechtman, Daniel Sýkora

Comput. Graph. Forum, 2021

2020

Interactive video stylization using few-shot patch-based training.

Ondrej Texler, David Futschik, Michal Kucera, Ondrej Jamriska, Sárka Sochorová, Menglei Chai, Sergey Tulyakov, Daniel Sýkora

ACM Trans. Graph., 2020

Arbitrary style transfer using neurally-guided patch-based synthesis.

Ondrej Texler, David Futschik, Jakub Fiser, Michal Lukác, Jingwan Lu, Eli Shechtman, Daniel Sýkora

Comput. Graph., 2020

2019

Real-Time Patch-Based Stylization of Portraits Using Generative Adversarial Network.

David Futschik, Menglei Chai, Chen Cao, Chongyang Ma, Aleksei Stoliar, Sergey Korolev, Sergey Tulyakov, Michal Kucera, Daniel Sýkora

Proceedings of the 8th ACM/Eurographics Expressive Symposium, 2019