Xintao Wang

2016–2026 年に発表

252
論文数
24,544
被引用数
62
h 指数
159
i10 指数

被引用数

Xintao Wang の年別被引用数2006 年: 被引用 3 件2007 年: 被引用 1 件2009 年: 被引用 1 件2012 年: 被引用 2 件2017 年: 被引用 18 件2018 年: 被引用 151 件2019 年: 被引用 463 件2020 年: 被引用 880 件2021 年: 被引用 1,020 件2022 年: 被引用 863 件2023 年: 被引用 1,404 件2024 年: 被引用 3,297 件2025 年: 被引用 3,997 件2026 年: 被引用 1,715 件2008 年は被引用が無いため表示していません2010〜2011 年は被引用が無いため表示していません2013〜2016 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 4,258 件、この内訳の 42.3%アメリカ合衆国: 引用元論文 1,303 件、この内訳の 12.9%香港: 引用元論文 530 件、この内訳の 5.2%韓国: 引用元論文 460 件、この内訳の 4.6%イギリス: 引用元論文 392 件、この内訳の 3.9%シンガポール: 引用元論文 276 件、この内訳の 2.7%オーストラリア: 引用元論文 240 件、この内訳の 2.4%インド: 引用元論文 238 件、この内訳の 2.4%カナダ: 引用元論文 229 件、この内訳の 2.3%ドイツ: 引用元論文 219 件、この内訳の 2.2%日本: 引用元論文 214 件、この内訳の 2.1%スイス: 引用元論文 134 件、この内訳の 1.3%
0%42.3%その他 15.7%

分野

  • Computer Science76%
  • Engineering11%
  • Medicine3%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • Physics and Astronomy1.1%
  • Neuroscience1%
  • その他6%

トピック

  • Advanced Image Processing Techniques12.5%
  • Generative Adversarial Networks and Image Synthesis8.8%
  • Advanced Vision and Imaging8%
  • Image and Signal Denoising Methods5.9%
  • Image Processing Techniques and Applications4.2%
  • Multimodal Machine Learning Applications3.3%
  • その他57.3%

共著者

全論文

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  1. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    著者: , , , , , , , - Lecture notes in computer science, ECCV Workshops (5) 2018 被引用: 3,911

  2. T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models

    著者: , , , , , , - AAAI Conference on Artificial Intelligence 2024 被引用: 801

  3. VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

    著者: , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 485

  4. T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

    著者: , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 559

  5. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    著者: , , , , , , , , - arXiv (Cornell University), CoRR 2018 被引用: 1,142

  6. InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

    著者: , , , , , - arXiv (Cornell University), CoRR 2024 被引用: 380

  7. Flow-GRPO: Training Flow Matching Models via Online RL

    著者: , , , , , , , , - NeurIPS 2025 被引用: 373

  8. NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo - IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2017 被引用: 1,493

  9. Improving Video Generation with Human Feedback

    著者: , , , , , , , , , , , , , , , , , - NeurIPS 2025 被引用: 226

  10. From Persona to Personalization: A Survey on Role-Playing Language Agents

    著者: , , , , , , , , , , , , , , , , , - Trans. Mach. Learn. Res. 2024 被引用: 168

  11. DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

    著者: , , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 149

  12. FateZero: Fusing Attentions for Zero-shot Text-based Video Editing

    著者: , , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2023 被引用: 184

  13. Making LLaMA SEE and Draw with SEED Tokenizer

    著者: , , , , , , - ICLR 2024 被引用: 216

  14. DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models

    著者: , , , , - ICLR 2024 被引用: 232

  15. ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

    著者: , , , , , , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 被引用: 125

  16. MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

    著者: , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2023 被引用: 334

  17. Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

    著者: , , , , , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2023 被引用: 480

  18. VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

    著者: , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 被引用: 169

  19. Planting a SEED of Vision in Large Language Model

    著者: , , , , - arXiv (Cornell University), CoRR 2023 被引用: 124

  20. FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

    著者: , , , , , , - ICLR 2024 被引用: 190

  21. Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos

    著者: , , , , , , - AAAI Conference on Artificial Intelligence 2024 被引用: 101

  22. Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation

    著者: , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 86

  23. Does Role-Playing Chatbots Capture the Character Personalities? Assessing Personality Traits for Role-Playing Chatbots

    著者: , , , , , , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 被引用: 82

  24. MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

    著者: , , , , , , , - Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers 24, SIGGRAPH (Conference Paper Track) 2024 被引用: 81