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08/28/2023
Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor
Light-weight time-of-flight (ToF) depth sensors are compact and cost-eff...
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08/24/2023
Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects
Learning 3D shape representation with dense correspondence for deformabl...
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08/22/2023
Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views
Hand-object interaction understanding and the barely addressed novel vie...
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08/21/2023
Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
We propose a novel transformer-based framework that reconstructs two hig...
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04/24/2023
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Most existing point cloud upsampling methods have roughly three steps: f...
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04/04/2023
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
We propose a method to learn a high-quality implicit 3D head avatar from...
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03/26/2023
Learning Versatile 3D Shape Generation with Improved AR Models
Auto-Regressive (AR) models have achieved impressive results in 2D image...
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03/23/2023
SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
Despite the great success in 2D editing using user-friendly tools, such ...
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09/27/2022
DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image
Light-weight time-of-flight (ToF) depth sensors are small, cheap, low-en...
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08/18/2022
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling
Recent progress in 4D implicit representation focuses on globally contro...
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08/12/2022
PRIF: Primary Ray-based Implicit Function
We introduce a new implicit shape representation called Primary Ray-base...
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07/25/2022
NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing
Very recently neural implicit rendering techniques have been rapidly evo...
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05/05/2022
Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects
We, as human beings, can understand and picture a familiar scene from ar...
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04/27/2022
Density-preserving Deep Point Cloud Compression
Local density of point clouds is crucial for representing local details,...
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04/21/2022
Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images
We study the problem of shape generation in 3D mesh representation from ...
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03/02/2022
H4D: Human 4D Modeling by Learning Neural Compositional Representation
Despite the impressive results achieved by deep learning based 3D recons...
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01/13/2022
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
We propose VoLux-GAN, a generative framework to synthesize 3D-aware face...
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09/12/2021
Multiresolution Deep Implicit Functions for 3D Shape Representation
We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchi...
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09/04/2021
Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
Implicit neural rendering techniques have shown promising results for no...
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08/18/2021
Deep Hybrid Self-Prior for Full 3D Mesh Generation
We present a deep learning pipeline that leverages network self-prior to...
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04/09/2021
Spatially-Varying Outdoor Lighting Estimation from Intrinsics
We present SOLID-Net, a neural network for spatially-varying outdoor lig...
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03/29/2021
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences
In this paper, we address the problem of building dense correspondences ...
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03/15/2021
Learning Compositional Representation for 4D Captures with Neural ODE
Learning based representation has become the key to the success of many ...
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03/11/2021
Holistic 3D Scene Understanding from a Single Image with Implicit Representation
We present a new pipeline for holistic 3D scene understanding from a sin...
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08/14/2020
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes
The task of room layout estimation is to locate the wall-floor, wall-cei...
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07/23/2020
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
This paper presents HITNet, a novel neural network architecture for real...
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06/26/2020
QCluster: Clustering Packets for FlowScheduling
Flow scheduling is crucial in data centers, as it directly influences us...
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05/18/2020
Deep Implicit Volume Compression
We describe a novel approach for compressing truncated signed distance f...
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03/31/2020
Du^2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
Computational stereo has reached a high level of accuracy, but degrades ...
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03/16/2020
Neural Pose Transfer by Spatially Adaptive Instance Normalization
Pose transfer has been studied for decades, in which the pose of a sourc...
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12/20/2019
DeepSFM: Structure From Motion Via Deep Bundle Adjustment
Structure from motion (SfM) is an essential computer vision problem whic...
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12/10/2019
Neural Point Cloud Rendering via Multi-Plane Projection
We present a new deep point cloud rendering pipeline through multi-plane...
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11/29/2019
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing
We propose a differentiable sphere tracing algorithm to bridge the gap b...
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08/05/2019
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
We study the problem of shape generation in 3D mesh representation from ...
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12/02/2018
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
In this paper, we propose a deep learning architecture that produces acc...
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07/16/2018
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems
In this paper we present ActiveStereoNet, the first deep learning soluti...
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04/15/2018
Semantic Feature Augmentation in Few-shot Learning
A fundamental problem with few-shot learning is the scarcity of data in ...
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04/05/2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
We propose an end-to-end deep learning architecture that produces a 3D s...
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03/25/2018
Deep Depth Completion of a Single RGB-D Image
The goal of our work is to complete the depth channel of an RGB-D image....
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09/18/2017
Matterport3D: Learning from RGB-D Data in Indoor Environments
Access to large, diverse RGB-D datasets is critical for training RGB-D s...
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04/07/2017
Hand3D: Hand Pose Estimation using 3D Neural Network
We propose a novel 3D neural network architecture for 3D hand pose estim...
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12/22/2016
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Indoor scene understanding is central to applications such as robot navi...
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12/08/2016
Joint Hand Detection and Rotation Estimation by Using CNN
Hand detection is essential for many hand related tasks, e.g. parsing ha...
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03/16/2016
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding
While deep neural networks have led to human-level performance on comput...
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06/10/2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
While there has been remarkable progress in the performance of visual re...
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04/25/2015