b'Yinda Zhang'

research

∙ 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...

0 Xinyang Liu, et al. ∙

research

∙ 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...

0 Baowen Zhang, et al. ∙

research

∙ 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...

0 Wentian Qu, et al. ∙

research

∙ 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...

0 Tze Ho Elden Tse, et al. ∙

research

∙ 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...

0 Yun He, et al. ∙

research

∙ 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...

0 Ziqian Bai, et al. ∙

research

∙ 03/26/2023

Learning Versatile 3D Shape Generation with Improved AR Models

Auto-Regressive (AR) models have achieved impressive results in 2D image...

0 Simian Luo, et al. ∙

research

∙ 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 ...

0 Chong Bao, et al. ∙

research

∙ 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...

0 Yijin Li, et al. ∙

research

∙ 08/18/2022

LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling

Recent progress in 4D implicit representation focuses on globally contro...

5 Boyan Jiang, et al. ∙

research

∙ 08/12/2022

PRIF: Primary Ray-based Implicit Function

We introduce a new implicit shape representation called Primary Ray-base...

7 Brandon Yushan Feng, et al. ∙

research

∙ 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...

0 Bangbang Yang, et al. ∙

research

∙ 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...

0 Bangbang Yang, et al. ∙

research

∙ 04/27/2022

Density-preserving Deep Point Cloud Compression

Local density of point clouds is crucial for representing local details,...

0 Yun He, et al. ∙

research

∙ 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 ...

0 Chao Wen, et al. ∙

research

∙ 03/02/2022

H4D: Human 4D Modeling by Learning Neural Compositional Representation

Despite the impressive results achieved by deep learning based 3D recons...

8 Boyan Jiang, et al. ∙

research

∙ 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...

12 Feitong Tan, et al. ∙

research

∙ 09/12/2021

Multiresolution Deep Implicit Functions for 3D Shape Representation

We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchi...

8 Zhang Chen, et al. ∙

research

∙ 09/04/2021

Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

Implicit neural rendering techniques have shown promising results for no...

7 Bangbang Yang, et al. ∙

research

∙ 08/18/2021

Deep Hybrid Self-Prior for Full 3D Mesh Generation

We present a deep learning pipeline that leverages network self-prior to...

2 Xingkui Wei, et al. ∙

research

∙ 04/09/2021

Spatially-Varying Outdoor Lighting Estimation from Intrinsics

We present SOLID-Net, a neural network for spatially-varying outdoor lig...

10 Yongjie Zhu, et al. ∙

research

∙ 03/29/2021

HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences

In this paper, we address the problem of building dense correspondences ...

13 Feitong Tan, et al. ∙

research

∙ 03/15/2021

Learning Compositional Representation for 4D Captures with Neural ODE

Learning based representation has become the key to the success of many ...

0 Boyan Jiang, et al. ∙

research

∙ 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...

47 Cheng Zhang, et al. ∙

research

∙ 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...

37 Weidong Zhang, et al. ∙

research

∙ 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...

0 Vladimir Tankovich, et al. ∙

research

∙ 06/26/2020

QCluster: Clustering Packets for FlowScheduling

Flow scheduling is crucial in data centers, as it directly influences us...

0 Tong Yang, et al. ∙

research

∙ 05/18/2020

Deep Implicit Volume Compression

We describe a novel approach for compressing truncated signed distance f...

1 Danhang Tang, et al. ∙

research

∙ 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 ...

0 Yinda Zhang, et al. ∙

research

∙ 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...

0 Jiashun Wang, et al. ∙

research

∙ 12/20/2019

DeepSFM: Structure From Motion Via Deep Bundle Adjustment

Structure from motion (SfM) is an essential computer vision problem whic...

27 Xingkui Wei, et al. ∙

research

∙ 12/10/2019

Neural Point Cloud Rendering via Multi-Plane Projection

We present a new deep point cloud rendering pipeline through multi-plane...

28 Xin Yu, et al. ∙

research

∙ 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...

3 Shaohui Liu, et al. ∙

research

∙ 08/05/2019

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

We study the problem of shape generation in 3D mesh representation from ...

8 Chao Wen, et al. ∙

research

∙ 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...

0 Jiaxiong Qiu, et al. ∙

research

∙ 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...

4 Yinda Zhang, et al. ∙

research

∙ 04/15/2018

Semantic Feature Augmentation in Few-shot Learning

A fundamental problem with few-shot learning is the scarcity of data in ...

0 Zitian Chen, et al. ∙

research

∙ 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...

8 Nanyang Wang, et al. ∙

research

∙ 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....

0 Yinda Zhang, et al. ∙

research

∙ 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...

0 Angel Chang, et al. ∙

research

∙ 04/07/2017

Hand3D: Hand Pose Estimation using 3D Neural Network

We propose a novel 3D neural network architecture for 3D hand pose estim...

0 Xiaoming Deng, et al. ∙

research

∙ 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...

0 Yinda Zhang, et al. ∙

research

∙ 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...

0 Xiaoming Deng, et al. ∙

research

∙ 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...

0 Yinda Zhang, et al. ∙

research

∙ 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...

0 Fisher Yu, et al. ∙

research

∙ 04/25/2015

TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking

Traditional eye tracking requires specialized hardware, which means coll...

0 Pingmei Xu, et al. ∙

Yinda Zhang

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