Aleksander Holynski

According to our database, Aleksander Holynski authored at least 29 papers between 2018 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 2024

Diffusion Models as Data Mining Tools.

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

CoRR, 2024

Rethinking Score Distillation as a Bridge Between Image Distributions.

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

CoRR, 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

CoRR, 2024

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

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

CoRR, 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

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