Search Results for author: Avinash Paliwal

Found 6 papers, 5 papers with code

CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians

no code implementations28 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).

3D Reconstruction Novel View Synthesis

ReShader: View-Dependent Highlights for Single Image View-Synthesis

1 code implementation19 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.

Image Inpainting Novel View Synthesis

Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding

1 code implementation27 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.

Video Frame Interpolation

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

1 code implementation4 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).

Denoising Optical Flow Estimation +1

Deep Slow Motion Video Reconstruction with Hybrid Imaging System

1 code implementation27 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.

Optical Flow Estimation valid +3

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