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20172023
most citedDetail-revealing Deep Video Super-resolution

35 citations · 59 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 1 cited

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation

Chenliang Zhou, Fangcheng Zhong, Param Hanji +5

We propose FrePolad: frequency-rectified point latent diffusion, a point cloud generation pipeline integrating a variational autoencoder (VAE) with a denoising diffusion probabilis…

cs.CV2023

Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views

Hanxue Liang, Tianhao Wu, Param Hanji +4

Neural view synthesis (NVS) is one of the most successful techniques for synthesizing free viewpoint videos, capable of achieving high fidelity from only a sparse set of captured i…

cs.CV2018★ 20 cited

Scale-recurrent Network for Deep Image Deblurring

Xin Tao, Hongyun Gao, Yi Wang +3

In single image deblurring, the "coarse-to-fine" scheme, i.e. gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional opti…

cs.CV2017★ 35 cited

Detail-revealing Deep Video Super-resolution

Xin Tao, Hongyun Gao, Renjie Liao +2

Previous CNN-based video super-resolution approaches need to align multiple frames to the reference. In this paper, we show that proper frame alignment and motion compensation is c…

cs.CV2017★ 3 cited

High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits

Xiaoyong Shen, Hongyun Gao, Xin Tao +2

Estimating correspondence between two images and extracting the foreground object are two challenges in computer vision. With dual-lens smart phones, such as iPhone 7Plus and Huawe…