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20212026
most citedDual-Camera Joint Deblurring-Denoising

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2026

BurstGP: Enhancing Raw Burst Image Super Resolution with Generative Priors

Dong Huo, Tristan Aumentado-Armstrong, Samrudhdhi B. Rangrej +8

Burst image super resolution (BISR) aims to construct a single high-resolution (HR) image by aggregating information from multiple low-resolution (LR) frames, relying on temporal r…

cs.CV2026

Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration

Amirhossein Kazerouni, Maitreya Suin, Tristan Aumentado-Armstrong +6

Recent advances in image restoration have enabled high-fidelity recovery of faces from degraded inputs using reference-based face restoration models (Ref-FR). However, such methods…

cs.CV2023★ 1 cited

Dual-Camera Joint Deblurring-Denoising

Shayan Shekarforoush, Amanpreet Walia, Marcus A. Brubaker +2

Recent image enhancement methods have shown the advantages of using a pair of long and short-exposure images for low-light photography. These image modalities offer complementary s…

cs.CV2023

Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues

Stefanie Walz, Mario Bijelic, Andrea Ramazzina +3

We propose Gated Stereo, a high-resolution and long-range depth estimation technique that operates on active gated stereo images. Using active and high dynamic range passive captur…

cs.CV2021

Gated2Gated: Self-Supervised Depth Estimation from Gated Images

Amanpreet Walia, Stefanie Walz, Mario Bijelic +5

Gated cameras hold promise as an alternative to scanning LiDAR sensors with high-resolution 3D depth that is robust to back-scatter in fog, snow, and rain. Instead of sequentially…