142 citations · 249 across the 2 of their papers we have counts for
6 papers
Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask
Avinash Paliwal, Libing Zeng, Nima Khademi Kalantari
In this paper, we propose a learning-based approach for denoising raw videos captured under low lighting conditions. We propose to do this by first explicitly aligning the neighbor…
Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss
Marcel Santana Santos, Tsang Ing Ren, Nima Khademi Kalantari
Digital cameras can only capture a limited range of real-world scenes' luminance, producing images with saturated pixels. Existing single image high dynamic range (HDR) reconstruct…
Deep Slow Motion Video Reconstruction with Hybrid Imaging System
Avinash Paliwal, Nima Khademi Kalantari
Slow motion videos are becoming increasingly popular, but capturing high-resolution videos at extremely high frame rates requires professional high-speed cameras. To mitigate this…
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon +4
We present a practical and robust deep learning solution for capturing and rendering novel views of complex real world scenes for virtual exploration. Previous approaches either re…
Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition
Sai Bi, Nima Khademi Kalantari, Ravi Ramamoorthi
Intrinsic image decomposition is the process of separating the reflectance and shading layers of an image, which is a challenging and underdetermined problem. In this paper, we pro…
Light Field Video Capture Using a Learning-Based Hybrid Imaging System
Ting-Chun Wang, Jun-Yan Zhu, Nima Khademi Kalantari +2
Light field cameras have many advantages over traditional cameras, as they allow the user to change various camera settings after capture. However, capturing light fields requires…