Nima Kalantari (original) (raw)
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 25
Graphics Seminar:Spring 25
Past
CSCE 689 - Deep Learning for Computer Graphics:F18
CSCE 448/748 - Computational Photography:S19,S20,S21,S22,S23,S24
CSCE 441 - Computer Graphics:F19,F20,F21,F22,F23,F24
Graphics Seminar:F22,S23,F23,S24,F24
Students
Qihao He
M.S. Student
Fall 2023 — Present
Alumni
PhD
- Xilong Zhou (Texas A&M, 2024, now Postdoc at MPI for Informatics)
MS
- Deepankar Chanda (Texas A&M, 2020, now Software Engineer at Thermo Fisher Scientific)
- Marcel Santos (Federal University of Pernambuco, 2020, now Research Assistant at Apple)
- Stuti Sakhi (Texas A&M, 2020, now Software Engineer at Cash App)
BS
- Katherine Bezanson (Texas A&M, 2024)
- Brandon Nguyen (Texas A&M, 2023)
- Shuyu Wang (Texas A&M, 2022)
- Jonah Taylor (Texas A&M, 2022)
- Aksel Taylan (Texas A&M, 2020)
Analyzing and Improving the Skin Tone Consistency and Bias in Implicit 3D Relightable Face Generators
Libing Zeng and Nima Khademi Kalantari
WACV 2025
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, and Nima Khademi Kalantari
ECCV 2024
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 2024
MyStyle++: A Controllable Personalized Generative Prior
Libing Zeng, Lele Chen, Yi Xu, and Nima Khademi Kalantari
SIGGRAPH Asia 2023
ReShader: View-Dependent Highlights for Single Image View-Synthesis
Avinash Paliwal, Brandon Nguyen, Andrii Tsarov, and Nima Khademi Kalantari
SIGGRAPH Asia 2023
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
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
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
A Semi-Procedural Convolutional Material Prior
Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, and Nima Khademi Kalantari
CGF 2023
Test-Time Optimization for Video Depth Estimation Using Pseudo Reference Depth
Libing Zeng and Nima Khademi Kalantari
CGF 2023
Variational Pose Prediction with Dynamic Sample Selection from Sparse Tracking Signals
Nicholas Milef, Shinjiro Sueda, and Nima Khademi Kalantari
Eurographics 2023
Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding
Pedro Figueirêdo, Avinash Paliwal, and Nima Khademi Kalantari
WACV 2023
Look-Ahead Training with Learned Reflectance Loss for Single-Image SVBRDF Estimation
Xilong Zhou and Nima Khademi Kalantari
SIGGRAPH Asia 2022
TileGen: Tileable, Controllable Material Generation and Capture
Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, and Nima Khademi Kalantari
SIGGRAPH Asia 2022
Differentiable Simulation of Inertial Musculotendons
Ying Wang, Jasper Verheul, Sang-Hoon Yeo, Nima Khademi Kalantari, and Shinjiro Sueda
SIGGRAPH Asia 2022
Semantic-Aware Generative Approach for Image Inpainting
Deepankar Chanda and Nima Khademi Kalantari
EGSR 2021
Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask
Avinash Paliwal, Libing Zeng, and Nima Khademi Kalantari
ICCP 2021
Adversarial Single-Image SVBRDF Estimation with Hybrid Training
Xilong Zhou and Nima Khademi Kalantari
Eurographics 2021
Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion
Qinbo Li and Nima Khademi Kalantari
SIGGRAPH Asia 2020
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
Deep Slow Motion Video Reconstruction with Hybrid Imaging System
Avinash Paliwal and Nima Khademi Kalantari
PAMI (ICCP 2020)
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
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
Deep HDR Video from Sequences with Alternating Exposures
Nima Khademi Kalantari and Ravi Ramamoorthi
Eurographics 2019
Deep Adaptive Sampling for Low Sample Count Rendering
Alexandr Kuznetsov, Nima Khademi Kalantari, and Ravi Ramamoorthi
EGSR 2018
Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition
Sai Bi, Nima Khademi Kalantari, and Ravi Ramamoorthi
EGSR 2018
Deep High Dynamic Range Imaging of Dynamic Scenes
Nima Khademi Kalantari and Ravi Ramamoorthi
SIGGRAPH 2017
Patch-Based Optimization for Image-Based Texture Mapping
Sai Bi, Nima Khademi Kalantari, and Ravi Ramamoorthi
SIGGRAPH 2017
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
Learning-Based View Synthesis for Light Field Cameras
Nima Khademi Kalantari, Ting-Chun Wang, and Ravi Ramamoorthi
SIGGRAPH Asia 2016
A Machine Learning Approach for Filtering Monte Carlo Noise
Nima Khademi Kalantari, Steve Bako, and Pradeep Sen
SIGGRAPH 2015
Robust Radiometric Calibration for Dynamic Scenes in the Wild
Abhishek Badki, Nima Khademi Kalantari, and Pradeep Sen
ICCP 2015
Improving Patch-Based Synthesis by Learning Patch Masks
Nima Khademi Kalantari, Eli Shechtman, Soheil Darabi, Dan Goldman, and Pradeep Sen
ICCP 2014
Patch-Based High Dynamic Range Video
Nima Khademi Kalantari, Eli Shechtman, Connelly Barnes, Soheil Darabi, Dan B Goldman, and Pradeep Sen
SIGGRAPH Asia 2013
Removing the Noise in Monte Carlo Rendering with General Image Denoising Algorithms
Nima Khademi Kalantari, and Pradeep Sen
Eurographics 2013
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
Fast Generation of Approximate Blue Noise Point Sets
Nima Khademi Kalantari, and Pradeep Sen
EGSR 2012
Efficient Computation of Blue Noise Point Sets through Importance Sampling
Nima Khademi Kalantari, and Pradeep Sen
EGSR 2011