Aleksander Hołyński

Research Scientist, Google DeepMind
Postdoctoral Scholar, UC Berkeley (BAIR)

Email / Google Scholar / Bio / CV

About me

I'm a research scientist at Google DeepMind and a postdoctoral scholar at Berkeley AI Research, working with Alyosha Efros and Angjoo Kanazawa. I did my PhD at the University of Washington, advised by Steve Seitz, Brian Curless, and Rick Szeliski. I received my B.S. at the University of Illinois at Urbana-Champaign. I'm originally from San Juan, Puerto Rico.

Publications

CAT3D: Create Anything in 3D with Multi-View Diffusion Models Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jon Barron, Ben Poole* NeurIPS 2024 (Oral) PDF / arXiv
Disentangled 3D Scene Generation with Layout Learning Dave Epstein, Ben Poole, Ben Mildenhall, Alexei Efros, Aleksander Holynski ICML 2024 PDF / arXiv
Generative Image Dynamics Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski CVPR 2024 (Oral, Best Paper Award) PDF / Webpage
Readout Guidance: Learning Control from Diffusion Features Grace Luo, Trevor Darrell, Oliver Wang, Dan B Goldman, Aleksander Holynski CVPR 2024 (Highlight) PDF / arXiv
ReconFusion: 3D Reconstruction with Diffusion Priors Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul Srinivasan, Dor Verbin, Jon Barron, Ben Poole, Aleksander Holynski* CVPR 2024 PDF / arXiv
Generative Powers of Ten Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steve Seitz, Ira Kemelmacher, Ben Mildenhall, Pratul Srinivasan, Dor Verbin, Aleksander Holynski CVPR 2024 (Highlight) PDF / arXiv
Video Interpolation with Diffusion Models Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Holynski, Ben Poole, Janne Kontkanen CVPR 2024 PDF / arXiv
NeRFiller: Completing Scenes via Generative 3D Inpainting Ethan Weber, Aleksander Holynski, Varun Jampani, Saurabh Saxena, Noah Snavely, Abhishek Kar, Angjoo Kanazawa CVPR 2024 PDF / arXiv
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 CVPR 2024 (Coming soon) PDF / arXiv
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 SIGGRAPH 2024 PDF / Webpage
State of the Art on Diffusion Models for Visual Computing Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jon Barron, Amit Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Niessner, Bjorn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein Eurographics 2024 PDF / arXiv
Tracking Everything Everywhere All at Once Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely ICCV 2023 (Oral, Best Student Paper Award) PDF / Webpage
Diffusion Self-Guidance for Controllable Image Generation Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski NeurIPS 2023 PDF / Webpage
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence Grace Luo, Lisa Dunlap, Seth Dong Huk Park, Aleksander Holynski, Trevor Darrell NeurIPS 2023 PDF / Webpage / Code
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa ICCV 2023 (Oral) PDF / Webpage
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs Frederik Warburg, Ethan Weber, Matt Tancik, Aleksander Holynski, Angjoo Kanazawa ICCV 2023 PDF / Webpage
DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher ICCV 2023 PDF / Webpage
InstructPix2Pix: Learning to Follow Image Editing Instructions Tim Brooks, Aleksander Holynski, Alexei A. Efros CVPR 2023 (Highlight) PDF / Webpage / Code
SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage Yifan Wang, Aleksander Holynski, Xiuming Zhang, Cecilia Zhang CVPR 2023 PDF / Webpage / Video
Animating Pictures with Eulerian Motion Fields Aleksander Holynski, Brian Curless, Steven M. Seitz, Richard Szeliski CVPR 2021 (Oral) PDF / Webpage / Video Press: (Two Minute Papers), (Gizmodo)
Reducing Drift in Structure From Motion Using Extended Features Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski 3DV 2020 (Oral) PDF / Webpage / Video
Seeing the World in a Bag of Chips Jeong Joon Park, Aleksander Holynski, Steve Seitz CVPR 2020 (Oral) PDF / Webpage / Talk / Supplementary Press: (Wired), (Scientific American)
Fast Depth Densification for Occlusion-aware Augmented Reality Aleksander Holynski, Johannes Kopf SIGGRAPH Asia 2018 PDF / Code / Webpage / Video Press: (FB Research in Brief)
Structure from Motion for Panorama-Style Videos Chris Sweeney, Aleksander Holynski, Brian Curless, Steve Seitz arXiv preprint 2018 PDF

@article{Occlusion2018,
  author    = {Aleksander Holynski and Johannes Kopf},
  title     = {Fast Depth Densification for Occlusion-aware Augmented Reality},
  booktitle = {ACM Transactions on Graphics (Proc. SIGGRAPH Asia)},
  publisher = {ACM},
  volume = {37},
  number = {6},
  year = {2018}}