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20172025
most citedKBNet: Kernel Basis Network for Image Restoration

35 citations · 220 across the 36 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 12 cited

Unified learning-based lossy and lossless JPEG recompression

Jianghui Zhang, Yuanyuan Wang, Lina Guo +5

JPEG is still the most widely used image compression algorithm. Most image compression algorithms only consider uncompressed original image, while ignoring a large number of alread…

eess.IV2023

Efficient Learned Lossless JPEG Recompression

Lina Guo, Yuanyuan Wang, Tongda Xu +6

JPEG is one of the most popular image compression methods. It is beneficial to compress those existing JPEG files without introducing additional distortion. In this paper, we propo…

eess.IV2023

Conditional Perceptual Quality Preserving Image Compression

Tongda Xu, Qian Zhang, Yanghao Li +7

We propose conditional perceptual quality, an extension of the perceptual quality defined in \citet{blau2018perception}, by conditioning it on user defined information. Specificall…

cs.CV2023★ 1 cited

FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow

Zhaoyang Huang, Xiaoyu Shi, Chao Zhang +6

This paper introduces a novel transformer-based network architecture, FlowFormer, along with the Masked Cost Volume AutoEncoding (MCVA) for pretraining it to tackle the problem of…

cs.CV2023★ 35 cited

KBNet: Kernel Basis Network for Image Restoration

Yi Zhang, Dasong Li, Xiaoyu Shi +5

How to aggregate spatial information plays an essential role in learning-based image restoration. Most existing CNN-based networks adopt static convolutional kernels to encode spat…

cs.CV2023★ 4 cited

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

Xiaoyu Shi, Zhaoyang Huang, Dasong Li +6

FlowFormer introduces a transformer architecture into optical flow estimation and achieves state-of-the-art performance. The core component of FlowFormer is the transformer-based c…

cs.CV2023★ 4 cited

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation

Xiaoyu Shi, Zhaoyang Huang, Weikang Bian +7

We introduce VideoFlow, a novel optical flow estimation framework for videos. In contrast to previous methods that learn to estimate optical flow from two frames, VideoFlow concurr…