Yash Belhe

ybelhe@ucsd.edu

I'm a CSE PhD student at UCSD with Tzu-Mao Li and Ravi Ramamoorthi, working on all sorts of things in (differentiable) rendering. I've been fortunate to work with several wonderful folks at Adobe Research, Iliyan Georgiev, Michaël Gharbi and Matt Fisher and NVIDIA Research, Thomas Müller, Merlin Nimier-David and Alex Keller.

Previously, I did my MS in ECE at Carnegie Mellon University working on computational imaging with Aswin Sankaranarayanan, and my BTech in ECE at IIT Guwahati.

Papers

• Spatiotemporal Bilateral Gradient Filtering for Inverse Rendering
  Wesley Chang*, Xuanda Yang*, Yash Belhe*, Ravi Ramamoorthi, Tzu-Mao Li
  SIGGRAPH Asia 2024 (conference).
• BSDF importance sampling using a diffusion model
  Ziyang Fu, Yash Belhe, Haolin Lu, Liwen Wu, Bing Xu, Tzu-Mao Li
  SIGGRAPH Asia 2024 (conference).
• A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose
  Kaiwen Jiang, Yang Fu, Mukund Varma T, Yash Belhe, Xiaolong Wang, Hao Su, Ravi Ramamoorthi
  SIGGRAPH 2024 (conference).
• Importance Sampling BRDF Derivatives
  Yash Belhe, Bing Xu, Sai Praveen Bangaru, Ravi Ramamoorthi, Tzu-Mao Li
  Transactions on Graphics 2024.
• Discontinuity-Aware 2D Neural Fields
  Yash Belhe, Michaël Gharbi, Matthew Fisher, Iliyan Georgiev, Ravi Ramamoorthi, Tzu-Mao Li
  SIGGRAPH Asia 2023 (journal).
• Computational Imaging using Ultrasonically-Sculpted Virtual Lenses
  Hossein Baktash, Yash Belhe, Matteo G. Scopelliti, Yi Hua, Aswin C. Sankaranarayanan, Maysamreza Chamanzar,
  International Conference on Computational Photography (ICCP), 2022.