Nima

Nima Kalantari

Assistant Professor
Computer Science and Engineering Department
Texas A&M University
Office: 406, PETR
Phone: (979) 862-4251
: nimak (at) tamu.edu
CV [Feb. 2024], Google Scholar

I am an Assistant Professor in the Computer Science and Engineering department at Texas A&M University. Previously, I was a postdoc in the CSE department at UC San Diego, where I worked with Ravi Ramamoorthi. I finished my Ph.D. in the ECE department at UC Santa Barbara under the supervision of Pradeep Sen.

News
  1. Received the TEES Young Faculty Fellow Award!
  2. Logan (Xilong) successfully defended his PhD thesis!
  3. I will serve as the technical papers committee for SIGGRAPH 2024.
  4. Two papers conditionally accepted to SIGGRAPH Asia 2023.
  5. I will serve as the technical papers committee for SIGGRAPH Asia 2023.

Research Interests

My primary research interests are in computer graphics with an emphasis on computational photography and rendering. Specifically, in recent years, I have focused on developing machine learning techniques for image synthesis in these two fields. Overall, my goal is to develop practical systems in a variety of computational photography and rendering applications with the goal of representing the world around us accurately.


Teaching

Current

CSCE 448/748 - Computational Photography: Spring 24

Graphics Seminar: Spring 24


Past

CSCE 689 - Deep Learning for Computer Graphics: F18
CSCE 448/748 - Computational Photography: S19, S20, S21, S22, S23
CSCE 441 - Computer Graphics: F19, F20, F21, F22, F23
Graphics Seminar: F22, S23, F23


Students

Xilong Zhou

Ph.D. Student
Co-advised with Ergun Akleman
Fall 2018 — Present

Avinash Paliwal

Ph.D. Student
Fall 2019 — Present

Libing Zeng

Ph.D. Student
Fall 2019 — Present

Pedro Figueirêdo

Ph.D. Student
Spring 2020 — Present

Brandon Nguyen

M.S. Student
Fall 2023 — Present

Qihao He

M.S. Student
Fall 2023 — Present
Alumni

Selected Publications

For a complete list of my publications, please visit my Google Scholar profile.

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    Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics

    Salah A. Faroughi, Nikhil M. Pawar, Célio Fernandes, Maziar Raissi, Subasish Das, Nima Khademi Kalantari, and Seyed Kourosh Mahjour

    JCISE 2023
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    MyStyle++: A Controllable Personalized Generative Prior

    Libing Zeng, Lele Chen, Yi Xu, and Nima Khademi Kalantari

    SIGGRAPH Asia 2023
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    ReShader: View-Dependent Highlights for Single Image View-Synthesis

    Avinash Paliwal, Brandon Nguyen, Andrii Tsarov, and Nima Khademi Kalantari

    SIGGRAPH Asia 2023
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    PhotoMat: A Material Generator Learned from Single Flash Photos

    Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Yannick Hold-Geoffroy, Kalyan Sunkavalli, and Nima Khademi Kalantari

    SIGGRAPH 2023
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    Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform Coordinates

    Avinash Paliwal, Andrii Tsarov, and Nima Khademi Kalantari

    CVPR 2023
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    3D-aware Facial Landmark Detection via Multi-view Consistent Training on Synthetic Data

    Libing Zeng, Lele Chen, Wentao Bao, Zhong Li, Yi Xu, Junsong Yuan, and Nima Khademi Kalantari

    CVPR 2023
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    A Semi-Procedural Convolutional Material Prior

    Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, and Nima Khademi Kalantari

    CGF 2023
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    Test-Time Optimization for Video Depth Estimation Using Pseudo Reference Depth

    Libing Zeng and Nima Khademi Kalantari

    CGF 2023
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    Variational Pose Prediction with Dynamic Sample Selection from Sparse Tracking Signals

    Nicholas Milef, Shinjiro Sueda, and Nima Khademi Kalantari

    Eurographics 2023
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    Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding

    Pedro Figueirêdo, Avinash Paliwal, and Nima Khademi Kalantari

    WACV 2023
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    Look-Ahead Training with Learned Reflectance Loss for Single-Image SVBRDF Estimation

    Xilong Zhou and Nima Khademi Kalantari

    SIGGRAPH Asia 2022
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    TileGen: Tileable, Controllable Material Generation and Capture

    Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, and Nima Khademi Kalantari

    SIGGRAPH Asia 2022
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    Differentiable Simulation of Inertial Musculotendons

    Ying Wang, Jasper Verheul, Sang-Hoon Yeo, Nima Khademi Kalantari, and Shinjiro Sueda

    SIGGRAPH Asia 2022
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    Semantic-Aware Generative Approach for Image Inpainting

    Deepankar Chanda and Nima Khademi Kalantari

    EGSR 2021
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    Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask

    Avinash Paliwal, Libing Zeng, and Nima Khademi Kalantari

    ICCP 2021
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    Adversarial Single-Image SVBRDF Estimation with Hybrid Training

    Xilong Zhou and Nima Khademi Kalantari

    Eurographics 2021
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    Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion

    Qinbo Li and Nima Khademi Kalantari

    SIGGRAPH Asia 2020
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    Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss

    Marcel Santana Santos, Tsang Ing Ren, and Nima Khademi Kalantari

    SIGGRAPH 2020
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    Deep Slow Motion Video Reconstruction with Hybrid Imaging System

    Avinash Paliwal and Nima Khademi Kalantari

    PAMI (ICCP 2020)
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    Learning Generative Models for Rendering Specular Microgeometry

    Alexandr Kuznetsov, Milos Hasan, Zexiang Xu, Lingqi Yan, Bruce Walter, Nima Khademi Kalantari, Steve Marschner, and Ravi Ramamoorthi

    SIGGRAPH Asia 2019
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    Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines

    Ben Mildenhall, Pratul Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar

    SIGGRAPH 2019
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    Deep HDR Video from Sequences with Alternating Exposures

    Nima Khademi Kalantari and Ravi Ramamoorthi

    Eurographics 2019
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    Deep Adaptive Sampling for Low Sample Count Rendering

    Alexandr Kuznetsov, Nima Khademi Kalantari, and Ravi Ramamoorthi

    EGSR 2018
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    Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition

    Sai Bi, Nima Khademi Kalantari, and Ravi Ramamoorthi

    EGSR 2018
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    Deep High Dynamic Range Imaging of Dynamic Scenes

    Nima Khademi Kalantari and Ravi Ramamoorthi

    SIGGRAPH 2017
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    Patch-Based Optimization for Image-Based Texture Mapping

    Sai Bi, Nima Khademi Kalantari, and Ravi Ramamoorthi

    SIGGRAPH 2017
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    Light Field Video Capture Using a Learning-Based Hybrid Imaging System

    Ting-Chun Wang, Jun-Yan Zhu, Nima Khademi Kalantari, Alexei A. Efros, and Ravi Ramamoorthi

    SIGGRAPH 2017
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    Learning-Based View Synthesis for Light Field Cameras

    Nima Khademi Kalantari, Ting-Chun Wang, and Ravi Ramamoorthi

    SIGGRAPH Asia 2016
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    A Machine Learning Approach for Filtering Monte Carlo Noise

    Nima Khademi Kalantari, Steve Bako, and Pradeep Sen

    SIGGRAPH 2015
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    Robust Radiometric Calibration for Dynamic Scenes in the Wild

    Abhishek Badki, Nima Khademi Kalantari, and Pradeep Sen

    ICCP 2015
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    Improving Patch-Based Synthesis by Learning Patch Masks

    Nima Khademi Kalantari, Eli Shechtman, Soheil Darabi, Dan Goldman, and Pradeep Sen

    ICCP 2014
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    Patch-Based High Dynamic Range Video

    Nima Khademi Kalantari, Eli Shechtman, Connelly Barnes, Soheil Darabi, Dan B Goldman, and Pradeep Sen

    SIGGRAPH Asia 2013
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    Removing the Noise in Monte Carlo Rendering with General Image Denoising Algorithms

    Nima Khademi Kalantari, and Pradeep Sen

    Eurographics 2013
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    Robust Patch-Based HDR Reconstruction of Dynamic Scenes

    Pradeep Sen, Nima Khademi Kalantari, Maziar Yaesoubi, Soheil Darabi, Dan B Goldman, and Eli Shechtman

    SIGGRAPH Asia 2012
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    Fast Generation of Approximate Blue Noise Point Sets

    Nima Khademi Kalantari, and Pradeep Sen

    EGSR 2012
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    Efficient Computation of Blue Noise Point Sets through Importance Sampling

    Nima Khademi Kalantari, and Pradeep Sen

    EGSR 2011