Aleksander Holynski

2.0k total citations · 2 hit papers
19 papers, 900 citations indexed

About

Aleksander Holynski is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Aleksander Holynski has authored 19 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 3 papers in Computational Mechanics. Recurrent topics in Aleksander Holynski's work include Advanced Vision and Imaging (8 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Computer Graphics and Visualization Techniques (6 papers). Aleksander Holynski is often cited by papers focused on Advanced Vision and Imaging (8 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Computer Graphics and Visualization Techniques (6 papers). Aleksander Holynski collaborates with scholars based in United States, Israel and Saudi Arabia. Aleksander Holynski's co-authors include Alexei A. Efros, Tim Brooks, Angjoo Kanazawa, Johannes Kopf, Matthew Tancik, Noah Snavely, Ting-Chun Wang, Ira Kemelmacher-Shlizerman, Zhengqi Li and Bharath Hariharan and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and Construction Research Congress 2014.

In The Last Decade

Aleksander Holynski

15 papers receiving 874 citations

Hit Papers

InstructPix2Pix: Learning to Follow Image Editing Instruc... 2023 2026 2024 2025 2023 2023 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. InstructPix2Pix: Learning to Follow Image Editing Instructions
    2023 488 citations Tim Brooks, Aleksander Holynski et al. profile →
  2. Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
    2023 127 citations Matthew Tancik, Alexei A. Efros et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aleksander Holynski United States 11 657 242 152 119 75 19 900
Cengiz Öztireli Switzerland 13 461 0.7× 180 0.7× 267 1.8× 177 1.5× 71 0.9× 23 737
Shuyang Gu China 8 723 1.1× 180 0.7× 106 0.7× 156 1.3× 52 0.7× 26 984
Zhixin Shu United States 13 824 1.3× 335 1.4× 282 1.9× 48 0.4× 37 0.5× 27 963
Qiming Hou China 12 670 1.0× 419 1.7× 317 2.1× 82 0.7× 53 0.7× 24 1.0k
Yilun Du United States 8 391 0.6× 221 0.9× 245 1.6× 120 1.0× 91 1.2× 18 610
Gengshan Yang United States 11 555 0.8× 84 0.3× 132 0.9× 38 0.3× 55 0.7× 17 660
Zhouhui Lian China 20 1.1k 1.7× 368 1.5× 458 3.0× 92 0.8× 104 1.4× 83 1.4k
Eunbyung Park South Korea 9 490 0.7× 98 0.4× 83 0.5× 185 1.6× 19 0.3× 20 658
Gilbert Bernstein United States 13 281 0.4× 168 0.7× 158 1.0× 68 0.6× 153 2.0× 30 571
Yongcheng Jing China 10 670 1.0× 126 0.5× 56 0.4× 180 1.5× 22 0.3× 16 859

Countries citing papers authored by Aleksander Holynski

Since Specialization
Citations

This map shows the geographic impact of Aleksander Holynski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aleksander Holynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksander Holynski more than expected).

Fields of papers citing papers by Aleksander Holynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aleksander Holynski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aleksander Holynski. The network helps show where Aleksander Holynski may publish in the future.

Co-authorship network of co-authors of Aleksander Holynski

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksander Holynski. A scholar is included among the top collaborators of Aleksander Holynski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aleksander Holynski. Aleksander Holynski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Li, Zhengqi, Richard P. Tucker, Forrester Cole, et al.. (2025). MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos. 10486–10496. 4 indexed citations
2.
Wang, Qianqian, Yifei Zhang, Aleksander Holynski, Alexei A. Efros, & Angjoo Kanazawa. (2025). Continuous 3D Perception Model with Persistent State. 10510–10522. 2 indexed citations
3.
Tang, Luming, Nataniel Ruiz, Aleksander Holynski, et al.. (2024). RealFill: Reference-Driven Generation for Authentic Image Completion. ACM Transactions on Graphics. 43(4). 1–12. 13 indexed citations
4.
Pó, Riccardo, Yifan Wang, Vladislav Golyanik, et al.. (2024). State of the Art on Diffusion Models for Visual Computing. Computer Graphics Forum. 43(2). 36 indexed citations
5.
Weber, Ethan, Aleksander Holynski, Varun Jampani, et al.. (2024). NeRFiller: Completing Scenes via Generative 3D Inpainting. 20731–20741. 6 indexed citations
6.
Shih, Meng-Li, Wei-Chiu Ma, Aleksander Holynski, et al.. (2024). ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models. 20385–20395.
7.
Wang, Xiaojuan, Janne Kontkanen, Brian Curless, et al.. (2024). Generative Powers of Ten. 7173–7182.
8.
Li, Zhengqi, Richard Tucker, Noah Snavely, & Aleksander Holynski. (2024). Generative Image Dynamics. 24142–24153. 11 indexed citations
9.
Darrell, Trevor, et al.. (2024). Readout Guidance: Learning Control from Diffusion Features. 8217–8227. 2 indexed citations
10.
Lu, Erika, Shiran Zada, Aleksander Holynski, et al.. (2024). VidPanos: Generative Panoramic Videos from Casual Panning Videos. 1–11.
11.
Holynski, Aleksander, et al.. (2023). DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion. 22623–22633. 48 indexed citations
12.
Efros, Alexei A., et al.. (2023). Diffusion Self-Guidance for Controllable Image Generation. 16222–16239.
13.
Tancik, Matthew, et al.. (2023). Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. 19683–19693. 127 indexed citations breakdown →
14.
Wang, Yifan, et al.. (2023). SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage. 20792–20802. 15 indexed citations
15.
Chang, Yen-Yu, Ruojin Cai, Zhengqi Li, et al.. (2023). Tracking Everything Everywhere All at Once. 19738–19749. 55 indexed citations
16.
Brooks, Tim, Aleksander Holynski, & Alexei A. Efros. (2023). InstructPix2Pix: Learning to Follow Image Editing Instructions. 18392–18402. 488 indexed citations breakdown →
17.
Warburg, Frederik, Ethan Weber, Matthew Tancik, Aleksander Holynski, & Angjoo Kanazawa. (2023). Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. 18074–18084. 17 indexed citations
18.
Holynski, Aleksander & Johannes Kopf. (2018). Fast depth densification for occlusion-aware augmented reality. ACM Transactions on Graphics. 37(6). 1–11. 58 indexed citations
19.
Khosrowpour, Ardalan, Igor Fedorov, Aleksander Holynski, Juan Carlos Niebles, & Mani Golparvar‐Fard. (2014). Automated Worker Activity Analysis in Indoor Environments for Direct-Work Rate Improvement from Long Sequences of RGB-D Images. Construction Research Congress 2014. 729–738. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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