Avinash Paliwal

I am a PhD Student in the Computer Science and Engineering department at Texas A&M University, advised by Dr. Nima Kalantari in the Aggie Graphics Group. My primary research interests are in 3D Computer Vision and Computational Photography. My current research work is focused on fast and photorealistic novel view synthesis from sparse images.

I was a Research Scientist Intern at Meta Reality Labs in 2023, a Research Intern at Leia Inc. in 2021 and SDE intern at Amazon in 2019.

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CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Kalantari
arXiv, 2024
project page / arXiv / bibtex

Coherent 3D Gaussians for high-quality sparse novel view synthesis.

ReShader: View-Dependent Highlights for Single Image View-Synthesis
Avinash Paliwal, Brandon Nguyen, Andrii Tsarov, Nima Kalantari
SIGGRAPH Asia (TOG), 2023
project page / arXiv / journal / video / code / bibtex

Photorealistic view dependent effects.

Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform Coordinates
Avinash Paliwal, Andrii Tsarov, Nima Kalantari
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
project page / arXiv / conference / video / code / bibtex

Real-time space time interpolation from stereo videos.

Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding
Pedro Figueirêdo, Avinash Paliwal, Nima Kalantari
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
project page / arXiv / conference / video / code / bibtex

Smooth interpolation between two near duplicate photos.

Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask
Avinash Paliwal, Libing Zeng, Nima Kalantari
IEEE International Conference on Computational Photography (ICCP), 2021
project page / arXiv / conference / video / code / bibtex

Temporally consistent adversarial raw video denoising.

Deep Slow Motion Video Reconstruction with Hybrid Imaging System
Avinash Paliwal, Nima Kalantari
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020
project page / arXiv / journal / video / code / bibtex

Generating Full HD (1080p) slow motion videos using dual cameras.

CSCE 441: Computer Graphics, Fall 2020
Graduate Teaching Assistant
CSCE 489/689: Computational Photography, Spring 2020
Graduate Teaching Assistant

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