Lvmin Zhang
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Maneesh AgrawalaAnyi RaoYi JiChunping LiuTien‐Tsin WongChengze LiEdgar Simo‐SerraQingnan Fan
- Topics
- Computer Graphics and Visualization Techniques (7 papers)Generative Adversarial Networks and Image Synthesis (4 papers)Advanced Vision and Imaging (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on Graphics2021 IEEE/CVF International Conference on Computer Vision (ICCV)Rare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Lvmin Zhang
9 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 1.2k
- Computer Graphics and Computer-Aided Design 383
- Artificial Intelligence 247
- Computational Mechanics 210
- Control and Systems Engineering 164
Countries citing papers authored by Lvmin Zhang
This map shows the geographic impact of Lvmin Zhang'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 Lvmin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lvmin Zhang more than expected).
Fields of papers citing papers by Lvmin Zhang
This network shows the impact of papers produced by Lvmin Zhang. 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 Lvmin Zhang. The network helps show where Lvmin Zhang may publish in the future.
Co-authorship network of co-authors of Lvmin Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Lvmin Zhang. A scholar is included among the top collaborators of Lvmin Zhang 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 Lvmin Zhang. Lvmin Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | Adding Conditional Control to Text-to-Image Diffusion Modelsbreakdown → | 1477 |
| 4 | 3 | |
| 5 | 35 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 120 |
About Lvmin Zhang
Lvmin Zhang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (383 citations), Computer Vision and Pattern Recognition (1.2k citations) and Computational Mechanics (210 citations). Lvmin Zhang has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Maneesh Agrawala, Anyi Rao, Yi Ji, Chunping Liu, Tien‐Tsin Wong, Chengze Li, Edgar Simo‐Serra, Qingnan Fan, Yu‐xin Liu and Jinbo Xing. Their work appears in journals such as ACM Transactions on Graphics, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.