World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7720
World Ranking
6572
National Ranking
2907

Kalyan Sunkavalli publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kalyan Sunkavalli sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Kalyan Sunkavalli D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kalyan Sunkavalli sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Kalyan Sunkavalli is affiliated with Adobe Systems in the United States. Their research primarily spans the fields of Computer Science and Engineering, with notable contributions to Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, and Computational Mechanics.

The scientist's recent papers include the following publications:

  • Point-NeRF: Point-based Neural Radiance Fields, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Neural Reflectance Fields for Appearance Acquisition, 2020, arXiv (Cornell University)
  • RigNeRF: Fully Controllable Neural 3D Portraits, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • MaterialGAN, 2020, ACM Transactions on Graphics

Frequent co-authors collaborating with Kalyan Sunkavalli include:

  • Zexiang Xu
  • Miloš Hašan
  • Yannick Hold-Geoffroy
  • Sai Bi

The scientist frequently publishes in the following venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • ACM Transactions on Graphics
  • Computer Graphics Forum

Key subfields of study reflected in Sunkavalli's work are:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Geology
  • Media Technology

The main topics addressed in their research include:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis
  • 3D Surveying and Cultural Heritage
  • Image Enhancement Techniques
  • Image Processing and 3D Reconstruction

Best Publications

  • Fast Video Object Segmentation by Reference-Guided Mask Propagation

    Seoung Wug Oh;Joon-Young Lee;Kalyan Sunkavalli;Seon Joo Kim

  • State of the Art on Neural Rendering

    Ayush Tewari;Ohad Fried;Justus Thies;Vincent Sitzmann

  • Neural Face Editing with Intrinsic Image Disentangling

    Zhixin Shu;Ersin Yumer;Sunil Hadap;Kalyan Sunkavalli

  • Learning to predict indoor illumination from a single image

    Marc-André Gardner;Kalyan Sunkavalli;Ersin Yumer;Xiaohui Shen

  • Learning to reconstruct shape and spatially-varying reflectance from a single image

    Zhengqin Li;Zexiang Xu;Ravi Ramamoorthi;Kalyan Sunkavalli

  • Deep Image Harmonization

    Yi-Hsuan Tsai;Xiaohui Shen;Zhe Lin;Kalyan Sunkavalli

  • Video face replacement

    Kevin Dale;Kalyan Sunkavalli;Micah K. Johnson;Daniel Vlasic

  • Deep Outdoor Illumination Estimation

    Yannick Hold-Geoffroy;Kalyan Sunkavalli;Sunil Hadap;Emiliano Gambaretto

  • Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image

    Zhengqin Li;Mohammad Shafiei;Ravi Ramamoorthi;Kalyan Sunkavalli

  • Multi-scale image harmonization

    Kalyan Sunkavalli;Micah K. Johnson;Wojciech Matusik;Hanspeter Pfister

  • Automatic Scene Inference for 3D Object Compositing

    Kevin Karsch;Kalyan Sunkavalli;Sunil Hadap;Nathan Carr

  • Deep Single-Image Portrait Relighting

    Hao Zhou;Sunil Hadap;Kalyan Sunkavalli;David Jacobs

  • Blind video temporal consistency

    Nicolas Bonneel;James Tompkin;Kalyan Sunkavalli;Deqing Sun

  • Deep image-based relighting from optimal sparse samples

    Zexiang Xu;Kalyan Sunkavalli;Sunil Hadap;Ravi Ramamoorthi

  • Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

    Zhengqin Li;Kalyan Sunkavalli;Manmohan Chandraker

  • NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction

    Unknown

  • MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

    Xinchen Yan;Akash Rastogi;Ruben Villegas;Kalyan Sunkavalli

  • First steps toward an electronic field guide for plants

    Gaurav Agarwal;Peter Belhumeur;Steven Feiner;David Jacobs

  • Neural Reflectance Fields for Appearance Acquisition

    Sai Bi;Zexiang Xu;Pratul P. Srinivasan;Ben Mildenhall

  • Deep Parametric Indoor Lighting Estimation

    Marc-Andre Gardner;Yannick Hold-Geoffroy;Kalyan Sunkavalli;Christian Gagne

  • Fast Spatially-Varying Indoor Lighting Estimation

    Mathieu Garon;Kalyan Sunkavalli;Sunil Hadap;Nathan Carr

  • Automatic Scene Inference for 3D Object Compositing

    Kevin Karsch;Kalyan Sunkavalli;Sunil Hadap;Nathan Carr

Frequent Co-Authors

Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Xiaohui Shen
Xiaohui Shen ByteDance
Zhe Lin
Zhe Lin Adobe Systems (United States)
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Hanspeter Pfister
Hanspeter Pfister Harvard University
Jean-François Lalonde
Jean-François Lalonde Université Laval
Manmohan Chandraker
Manmohan Chandraker University of California, San Diego
Joon-Young Lee
Joon-Young Lee Adobe Systems (United States)
Ersin Yumer
Ersin Yumer Adobe Systems (United States)
Aswin C. Sankaranarayanan
Aswin C. Sankaranarayanan Carnegie Mellon University

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