• Associate Professor, Computer Science & Engineering
Image of Nima Kalantari

Educational Background

  • Ph.D., Electrical and Computer Engineering, University of California in Santa Barbara – 2015
  • M.S., Electrical Engineering, Amirkabir University of Technology – 2009
  • B.S., Electrical Engineering, Amirkabir University of Technology – 2007

Research Interests

    • Computer graphics
    • Computational photography
    • Rendering
    • Deep learning

Awards & Honors

  • Outstanding Reviewer Award, CVPR – 2025
  • Frontiers of Science Award, “Local Light Field Fusion,” International Congress of Basic Science – 2024
  • TEES Young Faculty Fellow Award – 2024
  • NSF CAREER Award – 2023

Selected Publications

  • Avinash Paliwal, Xilong Zhou, Andrii Tsarov, and Nima Khademi Kalantari, "Panodreamer: Optimization-based single image to 360 3D scene with diffusion," In SIGGRAPH Asia 2025, New York, NY, USA, 2025. Association for Computing Machinery.
  • Avinash Paliwal, Xilong Zhou, Wei Ye, Jinhui Xiong, Rakesh Ranjan, and Nima Khademi Kalantari, "RI3D: Few-shot gaussian splatting with repair and inpainting diffusion priors," In ICCV 2025, 2025.
  • Pedro Figueiredo, Qihao He, Steve Bako, and Nima Khademi Kalantari, "Neural importance sampling of many lights," In SIGGRAPH 2025, New York, NY, USA, 2025. Association for Computing Machinery.
  • Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, and Nima Khademi Kalantari, "CoherentGS: Sparse novel view synthesis with coherent 3D Gaussians," In ECCV 2024, page 19–37, 2024.
  • Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Yannick Hold-Geoffroy, Kalyan Sunkavalli, and Nima Khademi Kalantari, "Photomat: A material generator learned from single flash photos," In SIGGRAPH 2023, New York, NY, USA, 2023. Association for Computing Machinery.