b'Jimei Yang'

research

∙ 07/28/2022

Skeleton-free Pose Transfer for Stylized 3D Characters

We present the first method that automatically transfers poses between s...

0 Zhouyingcheng Liao, et al. ∙

research

∙ 07/23/2022

Audio-driven Neural Gesture Reenactment with Video Motion Graphs

Human speech is often accompanied by body gestures including arm and han...

0 Yang Zhou, et al. ∙

research

∙ 05/14/2022

RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects

There have been remarkable successes in computer vision with deep learni...

7 Yunseok Jang, et al. ∙

research

∙ 05/01/2022

The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation

Nonparametric based methods have recently shown promising results in rec...

4 Zhe Wang, et al. ∙

research

∙ 03/24/2022

Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera

Appearance of dressed humans undergoes a complex geometric transformatio...

0 Jae Shin Yoon, et al. ∙

research

∙ 09/15/2021

Contact-Aware Retargeting of Skinned Motion

This paper introduces a motion retargeting method that preserves self-co...

0 Ruben Villegas, et al. ∙

research

∙ 09/13/2021

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

We present an algorithm for re-rendering a person from a single image un...

0 Badour AlBahar, et al. ∙

research

∙ 08/18/2021

Stochastic Scene-Aware Motion Prediction

A long-standing goal in computer vision is to capture, model, and realis...

11 Mohamed Hassan, et al. ∙

research

∙ 07/15/2021

Single-image Full-body Human Relighting

We present a single-image data-driven method to automatically relight im...

12 Manuel Lagunas, et al. ∙

research

∙ 06/07/2021

Task-Generic Hierarchical Human Motion Prior using VAEs

A deep generative model that describes human motions can benefit a wide ...

15 Jiaman Li, et al. ∙

research

∙ 05/10/2021

HuMoR: 3D Human Motion Model for Robust Pose Estimation

We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of tem...

11 Davis Rempe, et al. ∙

research

∙ 09/11/2020

Attribute-conditioned Layout GAN for Automatic Graphic Design

Modeling layout is an important first step for graphic design. Recently,...

10 Jianan Li, et al. ∙

research

∙ 07/22/2020

Contact and Human Dynamics from Monocular Video

Existing deep models predict 2D and 3D kinematic poses from video that a...

12 Davis Rempe, et al. ∙

research

∙ 05/24/2020

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

Existing image inpainting methods often produce artifacts when dealing w...

2 Yu Zeng, et al. ∙

research

∙ 05/18/2020

Generative Tweening: Long-term Inbetweening of 3D Human Motions

The ability to generate complex and realistic human body animations at s...

3 Yi Zhou, et al. ∙

research

∙ 09/12/2019

3D Ken Burns Effect from a Single Image

The Ken Burns effect allows animating still images with a virtual camera...

0 Simon Niklaus, et al. ∙

research

∙ 09/10/2019

FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images

Estimating 3D hand pose from single RGB images is a highly ambiguous pro...

16 Christian Zimmermann, et al. ∙

research

∙ 08/20/2019

Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control

Recent progress on physics-based character animation has shown impressiv...

6 Yu-Wei Chao, et al. ∙

research

∙ 04/09/2019

Multimodal Style Transfer via Graph Cuts

An assumption widely used in recent neural style transfer methods is tha...

24 Yulun Zhang, et al. ∙

research

∙ 01/21/2019

LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators

Layout is important for graphic design and scene generation. We propose ...

0 Jianan Li, et al. ∙

research

∙ 01/17/2019

Foreground-aware Image Inpainting

Existing image inpainting methods typically fill holes by borrowing info...

12 Wei Xiong, et al. ∙

research

∙ 12/17/2018

On the Continuity of Rotation Representations in Neural Networks

In neural networks, it is often desirable to work with various represent...

10 Yi Zhou, et al. ∙

research

∙ 10/14/2018

Learning to Sketch with Deep Q Networks and Demonstrated Strokes

Doodling is a useful and common intelligent skill that people can learn ...

0 Tao Zhou, et al. ∙

research

∙ 07/25/2018

Flow-Grounded Spatial-Temporal Video Prediction from Still Images

Existing video prediction methods mainly rely on observing multiple hist...

0 Yijun Li, et al. ∙

research

∙ 06/10/2018

Free-Form Image Inpainting with Gated Convolution

We present a novel deep learning based image inpainting system to comple...

0 Jiahui Yu, et al. ∙

research

∙ 04/17/2018

PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

This paper proposes a deep neural network (DNN) for piece-wise planar de...

2 Chen Liu, et al. ∙

research

∙ 04/16/2018

Neural Kinematic Networks for Unsupervised Motion Retargetting

We propose a recurrent neural network architecture with a Forward Kinema...

0 Ruben Villegas, et al. ∙

research

∙ 04/13/2018

BodyNet: Volumetric Inference of 3D Human Body Shapes

Human shape estimation is an important task for video editing, animation...

2 Gul Varol, et al. ∙

research

∙ 01/24/2018

MAttNet: Modular Attention Network for Referring Expression Comprehension

In this paper, we address referring expression comprehension: localizing...

0 Licheng Yu, et al. ∙

research

∙ 01/24/2018

Generative Image Inpainting with Contextual Attention

Recent deep learning based approaches have shown promising results on im...

0 Jiahui Yu, et al. ∙

research

∙ 11/09/2017

Predicting Scene Parsing and Motion Dynamics in the Future

The ability of predicting the future is important for intelligent system...

0 Xiaojie Jin, et al. ∙

research

∙ 08/08/2017

FoveaNet: Perspective-aware Urban Scene Parsing

Parsing urban scene images benefits many applications, especially self-d...

0 Xin Li, et al. ∙

research

∙ 08/04/2017

3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

The success of various applications including robotics, digital content ...

0 Chuhang Zou, et al. ∙

research

∙ 08/01/2017

Material Editing Using a Physically Based Rendering Network

The ability to edit materials of objects in images is desirable by many ...

0 Guilin Liu, et al. ∙

research

∙ 07/02/2017

Deep GrabCut for Object Selection

Most previous bounding-box-based segmentation methods assume the boundin...

0 Ning Xu, et al. ∙

research

∙ 06/25/2017

Decomposing Motion and Content for Natural Video Sequence Prediction

We propose a deep neural network for the prediction of future frames in ...

0 Ruben Villegas, et al. ∙

research

∙ 05/23/2017

Universal Style Transfer via Feature Transforms

Universal style transfer aims to transfer arbitrary visual styles to con...

0 Yijun Li, et al. ∙

research

∙ 04/11/2017

Forecasting Human Dynamics from Static Images

This paper presents the first study on forecasting human dynamics from s...

0 Yu-Wei Chao, et al. ∙

research

∙ 03/23/2017

Recurrent Multimodal Interaction for Referring Image Segmentation

In this paper we are interested in the problem of image segmentation giv...

0 Chenxi Liu, et al. ∙

research

∙ 03/08/2017

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

We present a transformation-grounded image generation network for novel ...

0 Eunbyung Park, et al. ∙

research

∙ 03/05/2017

Diversified Texture Synthesis with Feed-forward Networks

Recent progresses on deep discriminative and generative modeling have sh...

0 Yijun Li, et al. ∙

research

∙ 12/01/2016

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

Understanding the 3D world is a fundamental problem in computer vision. ...

0 Xinchen Yan, et al. ∙

research

∙ 12/01/2016

Video Scene Parsing with Predictive Feature Learning

In this work, we address the challenging video scene parsing problem by ...

0 Xiaojie Jin, et al. ∙

research

∙ 03/15/2016

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

We develop a deep learning algorithm for contour detection with a fully ...

0 Jimei Yang, et al. ∙

research

∙ 03/13/2016

Deep Interactive Object Selection

Interactive object selection is a very important research problem and ha...

0 Ning Xu, et al. ∙

research

∙ 01/05/2016

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis

An important problem for both graphics and vision is to synthesize novel...

0 Jimei Yang, et al. ∙

research

∙ 12/02/2015

Attribute2Image: Conditional Image Generation from Visual Attributes

This paper investigates a novel problem of generating images from visual...

0 Xinchen Yan, et al. ∙

Jimei Yang

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