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20152026
most citedSoft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

355 citations · 2.7k across the 325 of their papers we have counts for

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Showing 2021Show all

41 papers · 1 filter

cs.CV2021★ 3 cited

Global and Local Alignment Networks for Unpaired Image-to-Image Translation

Guanglei Yang, Hao Tang, Humphrey Shi +5

The goal of unpaired image-to-image translation is to produce an output image reflecting the target domain's style while keeping unrelated contents of the input source image unchan…

cs.CV2021

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution

Andreas Lugmayr, Martin Danelljan, Fisher Yu +2

Super-resolution is an ill-posed problem, where a ground-truth high-resolution image represents only one possibility in the space of plausible solutions. Yet, the dominant paradigm…

cs.CV2021★ 3 cited

Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model

Zipeng Xu, Tianwei Lin, Hao Tang +6

To achieve disentangled image manipulation, previous works depend heavily on manual annotation. Meanwhile, the available manipulations are limited to a pre-defined set the models w…

eess.IV2021★ 15 cited

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

Yuanhao Cai, Jing Lin, Xiaowan Hu +5

Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-spectral signal from a 2D measurement in the coded aperture snapshot spectral imaging (CASSI) system. The HS…

eess.IV2021

Towards Flexible Blind JPEG Artifacts Removal

Jiaxi Jiang, Kai Zhang, Radu Timofte

Training a single deep blind model to handle different quality factors for JPEG image artifacts removal has been attracting considerable attention due to its convenience for practi…

cs.CV2021★ 4 cited

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network

Prune Truong, Martin Danelljan, Radu Timofte +1

Establishing robust and accurate correspondences between a pair of images is a long-standing computer vision problem with numerous applications. While classically dominated by spar…