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

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

Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick,
Changxi Zheng, Jon Barron, Aleksander Holynski
arxiv 2024

PDF / arXiv

Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Xiaojuan Wang, Boyang Zhou, Brian Curless,
Ira Kemelmacher, Aleksander Holynski, Steve Seitz
arxiv 2024

PDF / arXiv

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
NeurIPS 2024

PDF / arXiv

Diffusion Models as Data Mining Tools
Ioannis Siglidis, Aleksander Holynski, Alexei Efros, Mathieu Aubry, Shiry Ginosar
ECCV 2024 (Spotlight)

PDF / arXiv

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
SIGGRAPH Asia 2024

PDF / arXiv

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

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

Fast Depth Densification for Occlusion-aware Augmented Reality

Aleksander Holynski, Johannes Kopf
SIGGRAPH Asia 2018

PDF / Code / Webpage / Video

Structure from Motion for Panorama-Style Videos

Chris Sweeney, Aleksander Holynski, Brian Curless, Steve Seitz
arXiv preprint 2018

PDF