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D-Index & Metrics

Computer Science

D-Index
47
Citations
7720
World Ranking
6571
National Ranking
2906

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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