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20212026
most citedAdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

26 citations · 76 across the 17 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

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…

cs.CV2021★ 1 cited

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

Songhua Liu, Tianwei Lin, Dongliang He +5

Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks. While reinforcement lear…

cs.CV2021★ 26 cited

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

Songhua Liu, Tianwei Lin, Dongliang He +6

Fast arbitrary neural style transfer has attracted widespread attention from academic, industrial and art communities due to its flexibility in enabling various applications. Exist…

cs.CV2021

DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features

Min Yang, Dongliang He, Miao Fan +5

Image Retrieval is a fundamental task of obtaining images similar to the query one from a database. A common image retrieval practice is to firstly retrieve candidate images via si…

cs.CV2021

NTIRE 2021 Depth Guided Image Relighting Challenge

Majed El Helou, Ruofan Zhou, Sabine Susstrunk +1

Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalizati…