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07/19/2023
Lazy Visual Localization via Motion Averaging
Visual (re)localization is critical for various applications in computer...
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06/01/2023
Example-based Motion Synthesis via Generative Motion Matching
We present GenMM, a generative model that "mines" as many diverse motion...
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04/25/2023
Patch-based 3D Natural Scene Generation from a Single Example
We target a 3D generative model for general natural scenes that are typi...
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04/13/2023
Learning Controllable 3D Diffusion Models from Single-view Images
Diffusion models have recently become the de-facto approach for generati...
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10/12/2022
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters
In this paper, we introduce ControlVAE, a novel model-based framework fo...
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10/04/2022
Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings
Automatic synthesis of realistic co-speech gestures is an increasingly i...
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10/03/2022
SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene
We present a 3D generative model for general natural scenes. Lacking nec...
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08/14/2022
Visual Localization via Few-Shot Scene Region Classification
Visual (re)localization addresses the problem of estimating the 6-DoF (D...
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02/08/2022
Self-Conditioned Generative Adversarial Networks for Image Editing
Generative Adversarial Networks (GANs) are susceptible to bias, learned ...
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06/10/2021
Unsupervised Co-part Segmentation through Assembly
Co-part segmentation is an important problem in computer vision for its ...
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06/08/2021
MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras
Synthesizing novel views of dynamic humans from stationary monocular cam...
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06/06/2021
Neural Implicit 3D Shapes from Single Images with Spatial Patterns
3D shape reconstruction from a single image has been a long-standing pro...
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05/18/2021
Solid-Fluid Interaction with Surface-Tension-Dominant Contact
We propose a novel three-way coupling method to model the contact intera...
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05/06/2021
Learning Skeletal Articulations with Neural Blend Shapes
Animating a newly designed character using motion capture (mocap) data i...
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04/08/2021
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
In this work, we tackle the problem of category-level online pose tracki...
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12/08/2020
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
Localizing the camera in a known indoor environment is a key building bl...
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12/08/2020
Active Visual Localization in Partially Calibrated Environments
Humans can robustly localize themselves without a map after they get los...
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09/07/2020
Implicit Multidimensional Projection of Local Subspaces
We propose a visualization method to understand the effect of multidimen...
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06/22/2020
MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistency
We introduce MotioNet, a deep neural network that directly reconstructs ...
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06/22/2020
DO-Conv: Depthwise Over-parameterized Convolutional Layer
Convolutional layers are the core building blocks of Convolutional Neura...
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06/18/2020
Neural Graphics Pipeline for Controllable Image Generation
We present Neural Graphics Pipeline (NGP), a hybrid generative model tha...
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06/14/2020
Generative 3D Part Assembly via Dynamic Graph Learning
Autonomous part assembly is a challenging yet crucial task in 3D compute...
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05/12/2020
Unpaired Motion Style Transfer from Video to Animation
Transferring the motion style from one animation clip to another, while ...
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05/12/2020
Skeleton-Aware Networks for Deep Motion Retargeting
We introduce a novel deep learning framework for data-driven motion reta...
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04/26/2020
IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...
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03/17/2020
Multimodal Shape Completion via Conditional Generative Adversarial Networks
Several deep learning methods have been proposed for completing partial ...
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12/08/2019
Deep Reflection Prior
Reflections are very common phenomena in our daily photography, which di...
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11/26/2019
Decoupling Features and Coordinates for Few-shot RGB Relocalization
Cross-scene model adaption is a crucial feature for camera relocalizatio...
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11/22/2019
DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation
Several recent studies have shown how disentangling images into content ...
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09/03/2019
Learning Elastic Constitutive Material and Damping Models
The fidelity of a deformation simulation is highly dependent upon the un...
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07/11/2019
A General Decoupled Learning Framework for Parameterized Image Operators
Many different deep networks have been used to approximate, accelerate o...
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05/05/2019
Learning Character-Agnostic Motion for Motion Retargeting in 2D
Analyzing human motion is a challenging task with a wide variety of appl...
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03/29/2019
Unpaired Point Cloud Completion on Real Scans using Adversarial Training
As 3D scanning solutions become increasingly popular, several deep learn...
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11/22/2018
Super Diffusion for Salient Object Detection
One major branch of saliency object detection methods is diffusion-based...
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11/07/2018
Image Smoothing via Unsupervised Learning
Image smoothing represents a fundamental component of many disparate com...
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08/21/2018
Deep Video-Based Performance Cloning
We present a new video-based performance cloning technique. After traini...
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08/15/2018
Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data
The accuracy and fidelity of deformation simulations are highly dependen...
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08/07/2018
SketchyScene: Richly-Annotated Scene Sketches
We contribute the first large-scale dataset of scene sketches, SketchySc...
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07/31/2018
Caging Loops in Shape Embedding Space: Theory and Computation
We propose to synthesize feasible caging grasps for a target object thro...
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07/24/2018
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
We present a generative neural network which enables us to generate plau...
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07/21/2018
Decouple Learning for Parameterized Image Operators
Many different deep networks have been used to approximate, accelerate o...
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05/21/2018
DifNet: Semantic Segmentation by DiffusionNetworks
Deep Neural Networks (DNNs) have recently shown state of the art perform...
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05/21/2018
DifNet: Semantic Segmentation by Diffusion Networks
Deep Neural Networks (DNNs) have recently shown state of the art perform...
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05/10/2018
Neural Best-Buddies: Sparse Cross-Domain Correspondence
Correspondence between images is a fundamental problem in computer visio...
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01/23/2018
PointCNN: Convolution On X-Transformed Points
We present a simple and general framework for feature learning from poin...
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01/23/2018
PointCNN
We present a simple and general framework for feature learning from poin...
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11/22/2017
Neuron-level Selective Context Aggregation for Scene Segmentation
Contextual information provides important cues for disambiguating visual...
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08/11/2017
A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing
This paper proposes a deep neural network structure that exploits edge i...
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03/29/2017
Bundle Optimization for Multi-aspect Embedding
Understanding semantic similarity among images is the core of a wide ran...
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01/11/2017