Aleksander Holynski

According to our database, Aleksander Holynski authored at least 39 papers between 2018 and 2025.

Collaborative distances:

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

2025

Dual-Process Image Generation.

Grace Luo, Jonathan Granskog, Aleksander Holynski, Trevor Darrell

CoRR, June, 2025

How Animals Dance (When You're Not Looking).

Xiaojuan Wang, Aleksander Holynski, Brian Curless, Ira Kemelmacher, Steven M. Seitz

CoRR, May, 2025

Bolt3D: Generating 3D Scenes in Seconds.

Stanislaw Szymanowicz, Jason Y. Zhang, Pratul P. Srinivasan, Ruiqi Gao, Arthur Brussee, Aleksander Holynski, Ricardo Martin-Brualla, Jonathan T. Barron, Philipp Henzler

CoRR, March, 2025

GPS as a Control Signal for Image Generation.

Chao Feng, Ziyang Chen, Aleksander Holynski, Alexei A. Efros, Andrew Owens

CoRR, January, 2025

Continuous 3D Perception Model with Persistent State.

Qianqian Wang, Yifei Zhang, Aleksander Holynski, Alexei A. Efros, Angjoo Kanazawa

CoRR, January, 2025

Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation.

Xiaojuan Wang, Boyang Zhou, Brian Curless, Ira Kemelmacher-Shlizerman, Aleksander Holynski, Steven M. Seitz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

RealFill: Reference-Driven Generation for Authentic Image Completion.

Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein

ACM Trans. Graph., July, 2024

State of the Art on Diffusion Models for Visual Computing.

Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein

Comput. Graph. Forum, May, 2024

Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos.

Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski

CoRR, 2024

SimVS: Simulating World Inconsistencies for Robust View Synthesis.

Alex Trevithick, Roni Paiss, Philipp Henzler, Dor Verbin, Rundi Wu, Hadi Alzayer, Ruiqi Gao, Ben Poole, Jonathan T. Barron, Aleksander Holynski, Ravi Ramamoorthi, Pratul P. Srinivasan

CoRR, 2024

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos.

Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely

CoRR, 2024

CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.

Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski

CoRR, 2024

Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis.

Yifan Wang, Aleksander Holynski, Brian L. Curless, Steven M. Seitz

CoRR, 2024

VidPanos: Generative Panoramic Videos from Casual Panning Videos.

Jingwei Ma, Erika Lu, Roni Paiss, Shiran Zada, Aleksander Holynski, Tali Dekel, Brian Curless, Michael Rubinstein, Forrester Cole

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Rethinking Score Distillation as a Bridge Between Image Distributions.

David McAllister, Songwei Ge, Jia-Bin Huang, David Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Disentangled 3D Scene Generation with Layout Learning.

Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Diffusion Models as Data Mining Tools.

Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar

Proceedings of the Computer Vision - ECCV 2024, 2024

ReconFusion: 3D Reconstruction with Diffusion Priors.

Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NeRFiller: Completing Scenes via Generative 3D Inpainting.

Ethan Weber, Aleksander Holynski, Varun Jampani, Saurabh Saxena, Noah Snavely, Abhishek Kar, Angjoo Kanazawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generative Powers of Ten.

Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman, Ben Mildenhall, Pratul P. Srinivasan, Dor Verbin, Aleksander Holynski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models.

Meng-Li Shih, Wei-Chiu Ma, Lorenzo Boyice, Aleksander Holynski, Forrester Cole, Brian Curless, Janne Kontkanen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Readout Guidance: Learning Control from Diffusion Features.

Grace Luo, Trevor Darrell, Oliver Wang, Dan B. Goldman, Aleksander Holynski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generative Image Dynamics.

Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Video Interpolation with Diffusion Models.

Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Holynski, Ben Poole, Janne Kontkanen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence.

Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Self-Guidance for Controllable Image Generation.

Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs.

Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Tracking Everything Everywhere All at Once.

Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion.

Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions.

Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage.

Yifan Wang, Aleksander Holynski, Xiuming Zhang, Xuaner Zhang

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

InstructPix2Pix: Learning to Follow Image Editing Instructions.

Tim Brooks, Aleksander Holynski, Alexei A. Efros

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

2022

Augmenting Visual Memories

Aleksander Holynski

PhD thesis, 2022

2021

Animating Pictures With Eulerian Motion Fields.

Aleksander Holynski, Brian L. Curless, Steven M. Seitz, Richard Szeliski

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Seeing the World in a Bag of Chips.

Jeong Joon Park, Aleksander Holynski, Steven M. Seitz

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Reducing Drift in Structure From Motion Using Extended Features.

Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Structure from Motion for Panorama-Style Videos.

Chris Sweeney, Aleksander Holynski, Brian Curless, Steven M. Seitz

CoRR, 2019

2018

Fast depth densification for occlusion-aware augmented reality.

Aleksander Holynski, Johannes Kopf

ACM Trans. Graph., 2018