Rundi Wu

1.2k total citations · 1 hit paper
8 papers, 522 citations indexed

About

Rundi Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Rundi Wu has authored 8 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computational Mechanics. Recurrent topics in Rundi Wu's work include Computer Graphics and Visualization Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers) and Speech and Audio Processing (2 papers). Rundi Wu is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers) and Speech and Audio Processing (2 papers). Rundi Wu collaborates with scholars based in United States, United Kingdom and China. Rundi Wu's co-authors include Carl Vondrick, Ruoshi Liu, Basile Van Hoorick, Sergey Zakharov, Pavel Tokmakov, Changxi Zheng, Chang Xiao, Baoquan Chen, Yixin Zhuang and Kai Xu and has published in prestigious journals such as ACM Transactions on Graphics, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Neural Information Processing Systems.

In The Last Decade

Rundi Wu

8 papers receiving 510 citations

Hit Papers

align trajectories

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.

Zero-1-to-3: Zero-shot One Image to 3D Object

2023 298 citations Ruoshi Liu, Rundi Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rundi Wu United States	5	314	261	218	76	63	8	522
Rana Hanocka United States	8	308 1.0×	404 1.5×	235 1.1×	121 1.6×	34 0.5×	22	604
Olga Diamanti United States	12	287 0.9×	547 2.1×	446 2.0×	117 1.5×	38 0.6×	20	742
Jeremy Reizenstein United Kingdom	5	416 1.3×	236 0.9×	174 0.8×	77 1.0×	12 0.2×	6	546
Yanir Kleiman Israel	9	439 1.4×	490 1.9×	250 1.1×	183 2.4×	34 0.5×	15	683
Caiming Zhang China	10	130 0.4×	257 1.0×	105 0.5×	33 0.4×	31 0.5×	57	368
Matheus Gadelha United States	7	314 1.0×	233 0.9×	160 0.7×	62 0.8×	8 0.1×	21	434
Truc Le United States	8	186 0.6×	284 1.1×	97 0.4×	226 3.0×	35 0.6×	12	467
Henry Johan Singapore	16	621 2.0×	465 1.8×	244 1.1×	118 1.6×	18 0.3×	69	791
Chao-Hui Shen China	8	340 1.1×	150 0.6×	137 0.6×	134 1.8×	21 0.3×	12	488
Michael Niemeyer United States	8	491 1.6×	285 1.1×	322 1.5×	43 0.6×	9 0.1×	14	629

Countries citing papers authored by Rundi Wu

Since Specialization

Citations

This map shows the geographic impact of Rundi Wu'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 Rundi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rundi Wu more than expected).

Fields of papers citing papers by Rundi Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rundi Wu. 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 Rundi Wu. The network helps show where Rundi Wu may publish in the future.

Co-authorship network of co-authors of Rundi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Rundi Wu. A scholar is included among the top collaborators of Rundi Wu 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 Rundi Wu. Rundi Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Wu, Rundi, et al.. (2025). CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models. 26057–26068. 3 indexed citations

2.

Wu, Rundi, Ben Mildenhall, Philipp Henzler, et al.. (2024). ReconFusion: 3D Reconstruction with Diffusion Priors. 21551–21561. 42 indexed citations

3.

Liu, Ruoshi, Rundi Wu, Basile Van Hoorick, et al.. (2023). Zero-1-to-3: Zero-shot One Image to 3D Object. 9264–9275. 298 indexed citations breakdown →

4.

Wu, Rundi & Changxi Zheng. (2022). Learning to Generate 3D Shapes from a Single Example. ACM Transactions on Graphics. 41(6). 1–19. 10 indexed citations

5.

Wu, Rundi, et al.. (2022). Dynamic Sliding Window for Realtime Denoising Networks. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 37. 361–365. 1 indexed citations

6.

Wu, Rundi, Chang Xiao, & Changxi Zheng. (2021). DeepCAD: A Deep Generative Network for Computer-Aided Design Models. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6752–6762. 82 indexed citations

7.

Wu, Rundi, et al.. (2020). Listening to Sounds of Silence for Speech Denoising. Neural Information Processing Systems. 33. 9633–9648. 1 indexed citations

8.

Wu, Rundi, Yixin Zhuang, Kai Xu, Hao Zhang, & Baoquan Chen. (2020). PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. 826–835. 85 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.

Explore authors with similar magnitude of impact