activity
20172024
most citedEfficientFormer: Vision Transformers at MobileNet Speed

257 citations · 854 across the 72 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.CV2021★ 8 cited

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny

Videos show continuous events, yet most if not all video synthesis frameworks treat them discretely in time. In this work, we think of videos of what they should be tim…

cs.CV2021★ 3 cited

Flow Guided Transformable Bottleneck Networks for Motion Retargeting

Jian Ren, Menglei Chai, Oliver J. Woodford +2

Human motion retargeting aims to transfer the motion of one person in a "driving" video or set of images to another person. Existing efforts leverage a long training video from eac…

cs.CV2021★ 67 cited

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Yu Tian, Jian Ren, Menglei Chai +4

Image and video synthesis are closely related areas aiming at generating content from noise. While rapid progress has been demonstrated in improving image-based models to handle la…

cs.CV2021

Motion Representations for Articulated Animation

Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren +2

We propose novel motion representations for animating articulated objects consisting of distinct parts. In a completely unsupervised manner, our method identifies object parts, tra…

cs.CV2021★ 20 cited

InfinityGAN: Towards Infinite-Pixel Image Synthesis

Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng +2

We present a novel framework, InfinityGAN, for arbitrary-sized image generation. The task is associated with several key challenges. First, scaling existing models to an arbitraril…

cs.CV2021★ 4 cited

In&Out : Diverse Image Outpainting via GAN Inversion

Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee +3

Image outpainting seeks for a semantically consistent extension of the input image beyond its available content. Compared to inpainting -- filling in missing pixels in a way cohere…