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07/28/2022
Skeleton-free Pose Transfer for Stylized 3D Characters
We present the first method that automatically transfers poses between s...
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07/23/2022
Audio-driven Neural Gesture Reenactment with Video Motion Graphs
Human speech is often accompanied by body gestures including arm and han...
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05/14/2022
RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects
There have been remarkable successes in computer vision with deep learni...
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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...
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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...
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09/15/2021
Contact-Aware Retargeting of Skinned Motion
This paper introduces a motion retargeting method that preserves self-co...
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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...
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08/18/2021
Stochastic Scene-Aware Motion Prediction
A long-standing goal in computer vision is to capture, model, and realis...
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07/15/2021
Single-image Full-body Human Relighting
We present a single-image data-driven method to automatically relight im...
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06/07/2021
Task-Generic Hierarchical Human Motion Prior using VAEs
A deep generative model that describes human motions can benefit a wide ...
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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...
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09/11/2020
Attribute-conditioned Layout GAN for Automatic Graphic Design
Modeling layout is an important first step for graphic design. Recently,...
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07/22/2020
Contact and Human Dynamics from Monocular Video
Existing deep models predict 2D and 3D kinematic poses from video that a...
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05/24/2020
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling
Existing image inpainting methods often produce artifacts when dealing w...
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05/18/2020
Generative Tweening: Long-term Inbetweening of 3D Human Motions
The ability to generate complex and realistic human body animations at s...
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09/12/2019
3D Ken Burns Effect from a Single Image
The Ken Burns effect allows animating still images with a virtual camera...
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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...
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08/20/2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
Recent progress on physics-based character animation has shown impressiv...
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04/09/2019
Multimodal Style Transfer via Graph Cuts
An assumption widely used in recent neural style transfer methods is tha...
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01/21/2019
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Layout is important for graphic design and scene generation. We propose ...
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01/17/2019
Foreground-aware Image Inpainting
Existing image inpainting methods typically fill holes by borrowing info...
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12/17/2018
On the Continuity of Rotation Representations in Neural Networks
In neural networks, it is often desirable to work with various represent...
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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 ...
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07/25/2018
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Existing video prediction methods mainly rely on observing multiple hist...
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06/10/2018
Free-Form Image Inpainting with Gated Convolution
We present a novel deep learning based image inpainting system to comple...
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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...
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04/16/2018
Neural Kinematic Networks for Unsupervised Motion Retargetting
We propose a recurrent neural network architecture with a Forward Kinema...
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04/13/2018
BodyNet: Volumetric Inference of 3D Human Body Shapes
Human shape estimation is an important task for video editing, animation...
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01/24/2018
MAttNet: Modular Attention Network for Referring Expression Comprehension
In this paper, we address referring expression comprehension: localizing...
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01/24/2018
Generative Image Inpainting with Contextual Attention
Recent deep learning based approaches have shown promising results on im...
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11/09/2017
Predicting Scene Parsing and Motion Dynamics in the Future
The ability of predicting the future is important for intelligent system...
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08/08/2017
FoveaNet: Perspective-aware Urban Scene Parsing
Parsing urban scene images benefits many applications, especially self-d...
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08/04/2017
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
The success of various applications including robotics, digital content ...
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08/01/2017
Material Editing Using a Physically Based Rendering Network
The ability to edit materials of objects in images is desirable by many ...
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07/02/2017
Deep GrabCut for Object Selection
Most previous bounding-box-based segmentation methods assume the boundin...
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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 ...
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05/23/2017
Universal Style Transfer via Feature Transforms
Universal style transfer aims to transfer arbitrary visual styles to con...
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04/11/2017
Forecasting Human Dynamics from Static Images
This paper presents the first study on forecasting human dynamics from s...
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03/23/2017
Recurrent Multimodal Interaction for Referring Image Segmentation
In this paper we are interested in the problem of image segmentation giv...
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03/08/2017
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
We present a transformation-grounded image generation network for novel ...
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03/05/2017
Diversified Texture Synthesis with Feed-forward Networks
Recent progresses on deep discriminative and generative modeling have sh...
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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. ...
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12/01/2016
Video Scene Parsing with Predictive Feature Learning
In this work, we address the challenging video scene parsing problem by ...
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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 ...
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03/13/2016
Deep Interactive Object Selection
Interactive object selection is a very important research problem and ha...
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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...
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12/02/2015
