Search Results for author: Nima Khademi Kalantari

Found 7 papers, 4 papers with code

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

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

no code implementations15 May 2020 Marcel Santana Santos, Tsang Ing Ren, Nima Khademi Kalantari

Since the number of HDR images for training is limited, we propose to train our system in two stages.

Image and Video Processing Graphics

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 Video Frame Interpolation +2

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

1 code implementation2 May 2019 Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, Abhishek Kar

We present a practical and robust deep learning solution for capturing and rendering novel views of complex real world scenes for virtual exploration.

Novel View Synthesis

Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition

no code implementations30 Jul 2018 Sai Bi, Nima Khademi Kalantari, Ravi Ramamoorthi

Experimental results show that our approach produces better results than the state-of-the-art DL and non-DL methods on various synthetic and real datasets both visually and numerically.

Intrinsic Image Decomposition

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

1 code implementation8 May 2017 Ting-Chun Wang, Jun-Yan Zhu, Nima Khademi Kalantari, Alexei A. Efros, Ravi Ramamoorthi

Given a 3 fps light field sequence and a standard 30 fps 2D video, our system can then generate a full light field video at 30 fps.

Learning-Based View Synthesis for Light Field Cameras

no code implementations9 Sep 2016 Nima Khademi Kalantari, Ting-Chun Wang, Ravi Ramamoorthi

Specifically, we propose a novel learning-based approach to synthesize new views from a sparse set of input views.

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