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Attribute-conditioned Layout GAN for Automatic Graphic Design
Modeling layout is an important first step for graphic design. Recently,...
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Contact and Human Dynamics from Monocular Video
Existing deep models predict 2D and 3D kinematic poses from video that a...
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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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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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3D Ken Burns Effect from a Single Image
The Ken Burns effect allows animating still images with a virtual camera...
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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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Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
Recent progress on physics-based character animation has shown impressiv...
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Multimodal Style Transfer via Graph Cuts
An assumption widely used in recent neural style transfer methods is tha...
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LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Layout is important for graphic design and scene generation. We propose ...
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Foreground-aware Image Inpainting
Existing image inpainting methods typically fill holes by borrowing info...
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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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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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Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Existing video prediction methods mainly rely on observing multiple hist...
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Free-Form Image Inpainting with Gated Convolution
We present a novel deep learning based image inpainting system to comple...
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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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Neural Kinematic Networks for Unsupervised Motion Retargetting
We propose a recurrent neural network architecture with a Forward Kinema...
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BodyNet: Volumetric Inference of 3D Human Body Shapes
Human shape estimation is an important task for video editing, animation...
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MAttNet: Modular Attention Network for Referring Expression Comprehension
In this paper, we address referring expression comprehension: localizing...
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Generative Image Inpainting with Contextual Attention
Recent deep learning based approaches have shown promising results on im...
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Predicting Scene Parsing and Motion Dynamics in the Future
The ability of predicting the future is important for intelligent system...
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FoveaNet: Perspective-aware Urban Scene Parsing
Parsing urban scene images benefits many applications, especially self-d...
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3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
The success of various applications including robotics, digital content ...
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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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Deep GrabCut for Object Selection
Most previous bounding-box-based segmentation methods assume the boundin...
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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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Universal Style Transfer via Feature Transforms
Universal style transfer aims to transfer arbitrary visual styles to con...
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Forecasting Human Dynamics from Static Images
This paper presents the first study on forecasting human dynamics from s...
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Recurrent Multimodal Interaction for Referring Image Segmentation
In this paper we are interested in the problem of image segmentation giv...
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Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
We present a transformation-grounded image generation network for novel ...
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Diversified Texture Synthesis with Feed-forward Networks
Recent progresses on deep discriminative and generative modeling have sh...
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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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Video Scene Parsing with Predictive Feature Learning
In this work, we address the challenging video scene parsing problem by ...
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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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Deep Interactive Object Selection
Interactive object selection is a very important research problem and ha...
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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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Attribute2Image: Conditional Image Generation from Visual Attributes
This paper investigates a novel problem of generating images from visual...
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