Kalyan Sunkavalli
Scholar

Kalyan Sunkavalli

Google Scholar ID: j7uL6VEAAAAJ
Adobe Research
Computer GraphicsComputer VisionMachine Learning
Citations & Impact
All-time
Citations
11,536
 
H-index
53
 
i10-index
109
 
Publications
20
 
Co-authors
181
list available
Resume (English only)
Academic Achievements
  • Published multiple papers including 'MatFormer: A Generative Model for Procedural Materials' at SIGGRAPH 2022, 'NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction' at CVPR 2022, among others.
Research Experience
  • Principal Scientist at Adobe Research; has mentored several graduate student interns.
Education
  • Received Ph.D. from Harvard University in 2012, supervised by Hanspeter Pfister; received Master's degree from Columbia University in 2006, advised by Ravi Ramamoorthi; graduated from Indian Institute of Technology, Delhi in 2003.
Background
  • Research interests lie at the intersection of graphics, computer vision, and machine learning; in particular, work focuses on reconstructing different aspects of visual appearance in images—illumination, geometry, reflectance, color, texture, motion, etc.—and building tools that enable users to edit and enhance them.
Miscellany
  • Always looking for motivated graduate students to collaborate with.