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20172025
most citedLearning Linear Transformations for Fast Arbitrary Style Transfer

95 citations · 502 across the 34 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 19 cited

Online Adaptation for Consistent Mesh Reconstruction in the Wild

Xueting Li, Sifei Liu, Shalini De Mello +4

This paper presents an algorithm to reconstruct temporally consistent 3D meshes of deformable object instances from videos in the wild. Without requiring annotations of 3D mesh, 2D…

cs.CV2020★ 7 cited

Improving Deep Stereo Network Generalization with Geometric Priors

Jialiang Wang, Varun Jampani, Deqing Sun +3

End-to-end deep learning methods have advanced stereo vision in recent years and obtained excellent results when the training and test data are similar. However, large datasets of…

cs.CV2020

Self-Supervised Viewpoint Learning From Image Collections

Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello +4

Training deep neural networks to estimate the viewpoint of objects requires large labeled training datasets. However, manually labeling viewpoints is notoriously hard, error-prone,…

cs.CV2020★ 7 cited

Self-supervised Single-view 3D Reconstruction via Semantic Consistency

Xueting Li, Sifei Liu, Kihwan Kim +4

We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh shape, texture and camera pose of a target object with a collection of 2D images and silho…

cs.CV2020

Exploiting Semantics for Face Image Deblurring

Ziyi Shen, Wei-Sheng Lai, Tingfa Xu +2

In this paper, we propose an effective and efficient face deblurring algorithm by exploiting semantic cues via deep convolutional neural networks. As the human faces are highly str…