no code implementations • 28 Mar 2024 • Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari
The field of 3D reconstruction from images has rapidly evolved in the past few years, first with the introduction of Neural Radiance Field (NeRF) and more recently with 3D Gaussian Splatting (3DGS).
1 code implementation • 19 Sep 2023 • Avinash Paliwal, Brandon Nguyen, Andrii Tsarov, Nima Khademi Kalantari
To address this major problem, we make a key observation that the process of synthesizing novel views requires changing the shading of the pixels based on the novel camera, and moving them to appropriate locations.
1 code implementation • CVPR 2023 • Avinash Paliwal, Andrii Tsarov, Nima Khademi Kalantari
In this paper, we propose an approach for view-time interpolation of stereo videos.
1 code implementation • 27 Sep 2022 • Pedro Figueirêdo, Avinash Paliwal, Nima Khademi Kalantari
To do this, we propose to encode the bidirectional flows into a coordinate-based network, powered by a hypernetwork, to obtain a continuous representation of the flow across time.
1 code implementation • 4 Mar 2021 • Avinash Paliwal, Libing Zeng, Nima Khademi Kalantari
We propose to do this by first explicitly aligning the neighboring frames to the current frame using a convolutional neural network (CNN).
Ranked #2 on Video Denoising on CRVD
1 code implementation • 27 Feb 2020 • Avinash Paliwal, Nima Khademi Kalantari
In this paper, we address this problem using two video streams as input; an auxiliary video with high frame rate and low spatial resolution, providing temporal information, in addition to the standard main video with low frame rate and high spatial resolution.