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ORCIDAleksander Holynski
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Books and Theses
- 2022
[b1]Aleksander Holynski:
Augmenting Visual Memories. University of Washington, USA, 2022
Journal Articles
- 2024
- [j3]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:
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43(2): i-iii (2024) - [j2]Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein:
RealFill: Reference-Driven Generation for Authentic Image Completion. ACM Trans. Graph. 43(4): 135:1-135:12 (2024) - 2018
- [j1]Aleksander Holynski, Johannes Kopf:
Fast depth densification for occlusion-aware augmented reality. ACM Trans. Graph. 37(6): 194 (2018)
Conference and Workshop Papers
- 2024
- [c19]Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman, Ben Mildenhall, Pratul P. Srinivasan, Dor Verbin, Aleksander Holynski:
Generative Powers of Ten. CVPR 2024: 7173-7182 - [c18]Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Holynski, Ben Poole, Janne Kontkanen:
Video Interpolation with Diffusion Models. CVPR 2024: 7341-7351 - [c17]Grace Luo, Trevor Darrell, Oliver Wang, Dan B. Goldman, Aleksander Holynski:
Readout Guidance: Learning Control from Diffusion Features. CVPR 2024: 8217-8227 - [c16]Meng-Li Shih, Wei-Chiu Ma, Lorenzo Boyice, Aleksander Holynski, Forrester Cole, Brian Curless, Janne Kontkanen:
ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models. CVPR 2024: 20385-20395 - [c15]Ethan Weber, Aleksander Holynski, Varun Jampani, Saurabh Saxena, Noah Snavely, Abhishek Kar, Angjoo Kanazawa:
NeRFiller: Completing Scenes via Generative 3D Inpainting. CVPR 2024: 20731-20741 - [c14]Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski:
ReconFusion: 3D Reconstruction with Diffusion Priors. CVPR 2024: 21551-21561 - [c13]Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski:
Generative Image Dynamics. CVPR 2024: 24142-24153 - [c12]Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski:
Disentangled 3D Scene Generation with Layout Learning. ICML 2024 - 2023
- [c11]Tim Brooks, Aleksander Holynski, Alexei A. Efros:
InstructPix2Pix: Learning to Follow Image Editing Instructions. CVPR 2023: 18392-18402 - [c10]Yifan Wang, Aleksander Holynski, Xiuming Zhang, Xuaner Zhang:
SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage. CVPR 2023: 20792-20802 - [c9]Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa:
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. ICCV 2023: 18074-18084 - [c8]Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. ICCV 2023: 19683-19693 - [c7]Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely:
Tracking Everything Everywhere All at Once. ICCV 2023: 19738-19749 - [c6]Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman:
DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion. ICCV 2023: 22623-22633 - [c5]Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski:
Diffusion Self-Guidance for Controllable Image Generation. NeurIPS 2023 - [c4]Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell:
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence. NeurIPS 2023 - 2021
- [c3]Aleksander Holynski, Brian L. Curless, Steven M. Seitz, Richard Szeliski:
Animating Pictures With Eulerian Motion Fields. CVPR 2021: 5810-5819 - 2020
- [c2]Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski:
Reducing Drift in Structure From Motion Using Extended Features. 3DV 2020: 51-60 - [c1]Jeong Joon Park, Aleksander Holynski, Steven M. Seitz:
Seeing the World in a Bag of Chips. CVPR 2020: 1414-1424
Informal and Other Publications
- 2024
- [i27]Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski:
Disentangled 3D Scene Generation with Layout Learning. CoRR abs/2402.16936 (2024) - [i26]Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Holynski, Ben Poole, Janne Kontkanen:
Video Interpolation with Diffusion Models. CoRR abs/2404.01203 (2024) - [i25]Yifan Wang, Aleksander Holynski, Brian L. Curless, Steven M. Seitz:
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis. CoRR abs/2405.08210 (2024) - [i24]Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole:
CAT3D: Create Anything in 3D with Multi-View Diffusion Models. CoRR abs/2405.10314 (2024) - [i23]Meng-Li Shih, Wei-Chiu Ma, Lorenzo Boyice, Aleksander Holynski, Forrester Cole, Brian L. Curless, Janne Kontkanen:
ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models. CoRR abs/2406.06133 (2024) - [i22]David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Rethinking Score Distillation as a Bridge Between Image Distributions. CoRR abs/2406.09417 (2024) - [i21]Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar:
Diffusion Models as Data Mining Tools. CoRR abs/2408.02752 (2024) - [i20]Xiaojuan Wang, Boyang Zhou, Brian Curless, Ira Kemelmacher-Shlizerman, Aleksander Holynski, Steven M. Seitz:
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation. CoRR abs/2408.15239 (2024) - 2023
- [i19]Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. CoRR abs/2303.12789 (2023) - [i18]Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman:
DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion. CoRR abs/2304.06025 (2023) - [i17]Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa:
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. CoRR abs/2304.10532 (2023) - [i16]Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell:
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence. CoRR abs/2305.14334 (2023) - [i15]Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski:
Diffusion Self-Guidance for Controllable Image Generation. CoRR abs/2306.00986 (2023) - [i14]Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely:
Tracking Everything Everywhere All at Once. CoRR abs/2306.05422 (2023) - [i13]Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski:
Generative Image Dynamics. CoRR abs/2309.07906 (2023) - [i12]Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein:
RealFill: Reference-Driven Generation for Authentic Image Completion. CoRR abs/2309.16668 (2023) - [i11]Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. CoRR abs/2310.07204 (2023) - [i10]Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steven M. Seitz, Ira Kemelmacher, Ben Mildenhall, Pratul P. Srinivasan, Dor Verbin, Aleksander Holynski:
Generative Powers of Ten. CoRR abs/2312.02149 (2023) - [i9]Grace Luo, Trevor Darrell, Oliver Wang, Dan B. Goldman, Aleksander Holynski:
Readout Guidance: Learning Control from Diffusion Features. CoRR abs/2312.02150 (2023) - [i8]Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski:
ReconFusion: 3D Reconstruction with Diffusion Priors. CoRR abs/2312.02981 (2023) - [i7]Ethan Weber, Aleksander Holynski, Varun Jampani, Saurabh Saxena, Noah Snavely, Abhishek Kar, Angjoo Kanazawa:
NeRFiller: Completing Scenes via Generative 3D Inpainting. CoRR abs/2312.04560 (2023) - 2022
- [i6]Yifan Wang, Aleksander Holynski, Xiuming Zhang, Xuaner Cecilia Zhang:
SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage. CoRR abs/2204.03648 (2022) - [i5]Tim Brooks, Aleksander Holynski, Alexei A. Efros:
InstructPix2Pix: Learning to Follow Image Editing Instructions. CoRR abs/2211.09800 (2022) - 2020
- [i4]Jeong Joon Park, Aleksander Holynski, Steven M. Seitz:
Seeing the World in a Bag of Chips. CoRR abs/2001.04642 (2020) - [i3]Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski:
Reducing Drift in Structure from Motion using Extended Features. CoRR abs/2008.12295 (2020) - [i2]Aleksander Holynski, Brian Curless, Steven M. Seitz, Richard Szeliski:
Animating Pictures with Eulerian Motion Fields. CoRR abs/2011.15128 (2020) - 2019
- [i1]Chris Sweeney, Aleksander Holynski, Brian Curless, Steven M. Seitz:
Structure from Motion for Panorama-Style Videos. CoRR abs/1906.03539 (2019)
Coauthor Index
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last updated on 2024-10-09 21:31 CEST by the dblp team
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