349 citations · 1.2k across the 27 of their papers we have counts for
4 papers · 1 filter
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…
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…
"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…
Learning from Multi-domain Artistic Images for Arbitrary Style Transfer
Zheng Xu, Michael Wilber, Chen Fang +2
We propose a fast feed-forward network for arbitrary style transfer, which can generate stylized image for previously unseen content and style image pairs. Besides the traditional…