activity
20152024
most citedUniversal Style Transfer via Feature Transforms

349 citations · 1.3k across the 36 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CV2018

Visual Font Pairing

Shuhui Jiang, Zhaowen Wang, Aaron Hertzmann +2

This paper introduces the problem of automatic font pairing. Font pairing is an important design task that is difficult for novices. Given a font selection for one part of a docume…

cs.CV2018★ 22 cited

Learning to Sketch with Deep Q Networks and Demonstrated Strokes

Tao Zhou, Chen Fang, Zhaowen Wang +5

Doodling is a useful and common intelligent skill that people can learn and master. In this work, we propose a two-stage learning framework to teach a machine to doodle in a simula…

cs.CV2018★ 10 cited

Flow-Grounded Spatial-Temporal Video Prediction from Still Images

Yijun Li, Chen Fang, Jimei Yang +3

Existing video prediction methods mainly rely on observing multiple historical frames or focus on predicting the next one-frame. In this work, we study the problem of generating co…

cs.CV2018★ 323 cited

Wide Activation for Efficient and Accurate Image Super-Resolution

Jiahui Yu, Yuchen Fan, Jianchao Yang +4

In this report we demonstrate that with same parameters and computational budgets, models with wider features before ReLU activation have significantly better performance for singl…

cs.CV2018★ 9 cited

"Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention

Tianlang Chen, Zhongping Zhang, Quanzeng You +4

Generating stylized captions for an image is an emerging topic in image captioning. Given an image as input, it requires the system to generate a caption that has a specific style…

cs.CV2018★ 6 cited

Reference-Conditioned Super-Resolution by Neural Texture Transfer

Zhifei Zhang, Zhaowen Wang, Zhe Lin +1

With the recent advancement in deep learning, we have witnessed a great progress in single image super-resolution. However, due to the significant information loss of the image dow…