Search Results for author: Zhaopeng Cui

Found 26 papers, 10 papers with code

LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies

no code implementations30 Nov 2021 Sandro Lombardi, Bangbang Yang, Tianxing Fan, Hujun Bao, Guofeng Zhang, Marc Pollefeys, Zhaopeng Cui

In this work, we propose a novel neural implicit representation for the human body, which is fully differentiable and optimizable with disentangled shape and pose latent spaces.

3D Reconstruction motion retargeting +1

Non-local Recurrent Regularization Networks for Multi-view Stereo

no code implementations13 Oct 2021 Qingshan Xu, Martin R. Oswald, Wenbing Tao, Marc Pollefeys, Zhaopeng Cui

However, existing recurrent methods only model the local dependencies in the depth domain, which greatly limits the capability of capturing the global scene context along the depth dimension.

Depth Estimation

Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

no code implementations ICCV 2021 Bangbang Yang, yinda zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, Zhaopeng Cui

In this paper, we present a novel neural scene rendering system, which learns an object-compositional neural radiance field and produces realistic rendering with editing capability for a clustered and real-world scene.

Neural Rendering Novel View Synthesis

DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

1 code implementation ICCV 2021 Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, yinda zhang

Panorama images have a much larger field-of-view thus naturally encode enriched scene context information compared to standard perspective images, which however is not well exploited in the previous scene understanding methods.

Scene Understanding

Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility

1 code implementation ICCV 2021 Shuang Song, Zhaopeng Cui, Rongjun Qin

Then the visibility information of multiple views is aggregated to generate a 3D mesh model by solving an optimization problem considering visibility in which a novel adaptive visibility weighting in surface determination is also introduced to suppress line of sight with a large incident angle.

Depth Completion Visibility Estimation from Point Cloud

Deep Hybrid Self-Prior for Full 3D Mesh Generation

no code implementations ICCV 2021 Xingkui Wei, Zhengqing Chen, Yanwei Fu, Zhaopeng Cui, yinda zhang

We present a deep learning pipeline that leverages network self-prior to recover a full 3D model consisting of both a triangular mesh and a texture map from the colored 3D point cloud.

Surface Reconstruction

End-to-End Rotation Averaging With Multi-Source Propagation

1 code implementation CVPR 2021 Luwei Yang, Heng Li, Jamal Ahmed Rahim, Zhaopeng Cui, Ping Tan

These methods can suffer from bad initializations due to the noisy spanning tree or outliers in input relative rotations.

Towards Efficient Graph Convolutional Networks for Point Cloud Handling

no code implementations ICCV 2021 Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory Chirikjian, Luc van Gool

In this paper, we aim at improving the computational efficiency of graph convolutional networks (GCNs) for learning on point clouds.

Riggable 3D Face Reconstruction via In-Network Optimization

1 code implementation CVPR 2021 Ziqian Bai, Zhaopeng Cui, Xiaoming Liu, Ping Tan

This paper presents a method for riggable 3D face reconstruction from monocular images, which jointly estimates a personalized face rig and per-image parameters including expressions, poses, and illuminations.

3D Face Reconstruction

Holistic 3D Scene Understanding from a Single Image with Implicit Representation

1 code implementation CVPR 2021 Cheng Zhang, Zhaopeng Cui, yinda zhang, Bing Zeng, Marc Pollefeys, Shuaicheng Liu

We not only propose an image-based local structured implicit network to improve the object shape estimation, but also refine the 3D object pose and scene layout via a novel implicit scene graph neural network that exploits the implicit local object features.

3D Object Detection Scene Understanding

The Card Shuffling Hypotheses: Building a Time and Memory Efficient Graph Convolutional Network

no code implementations1 Jan 2021 Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory Chirikjian, Luc van Gool

State-of-the-art GCNs adopt $K$-nearest neighbor (KNN) searches for local feature aggregation and feature extraction operations from layer to layer.

3D Classification Point Cloud Classification +1

Graph-Based Asynchronous Event Processing for Rapid Object Recognition

no code implementations ICCV 2021 Yijin Li, Han Zhou, Bangbang Yang, Ye Zhang, Zhaopeng Cui, Hujun Bao, Guofeng Zhang

Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightness changes.

graph construction Object Recognition

Sat2Vid: Street-view Panoramic Video Synthesis from a Single Satellite Image

no code implementations ICCV 2021 Zuoyue Li, Zhenqiang Li, Zhaopeng Cui, Rongjun Qin, Marc Pollefeys, Martin R. Oswald

For geometrical and temporal consistency, our approach explicitly creates a 3D point cloud representation of the scene and maintains dense 3D-2D correspondences across frames that reflect the geometric scene configuration inferred from the satellite view.

Image Generation

4D Human Body Capture from Egocentric Video via 3D Scene Grounding

no code implementations26 Nov 2020 Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M. Rehg, Siyu Tang

We introduce a novel task of reconstructing a time series of second-person 3D human body meshes from monocular egocentric videos.

Motion Capture Time Series

OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems

no code implementations18 Mar 2020 Changhee Won, Hochang Seok, Zhaopeng Cui, Marc Pollefeys, Jongwoo Lim

In this paper, we present an omnidirectional localization and dense mapping system for a wide-baseline multiview stereo setup with ultra-wide field-of-view (FOV) fisheye cameras, which has a 360 degrees coverage of stereo observations of the environment.

Depth Estimation Visual Odometry

Reflection Separation using a Pair of Unpolarized and Polarized Images

1 code implementation NeurIPS 2019 Youwei Lyu, Zhaopeng Cui, Si Li, Marc Pollefeys, Boxin Shi

When we take photos through glass windows or doors, the transmitted background scene is often blended with undesirable reflection.

DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing

1 code implementation CVPR 2020 Shaohui Liu, yinda zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui

We propose a differentiable sphere tracing algorithm to bridge the gap between inverse graphics methods and the recently proposed deep learning based implicit signed distance function.

Polarimetric Relative Pose Estimation

no code implementations ICCV 2019 Zhaopeng Cui, Viktor Larsson, Marc Pollefeys

In this paper we consider the problem of relative pose estimation from two images with per-pixel polarimetric information.

Pose Estimation Structure from Motion

Efficient 2D-3D Matching for Multi-Camera Visual Localization

no code implementations17 Sep 2018 Marcel Geppert, Peidong Liu, Zhaopeng Cui, Marc Pollefeys, Torsten Sattler

This results in a system that provides reliable and drift-less pose estimations for high speed autonomous driving.


Polarimetric Dense Monocular SLAM

no code implementations CVPR 2018 Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, Ping Tan

This paper presents a novel polarimetric dense monocular SLAM (PDMS) algorithm based on a polarization camera.

Polarimetric Multi-View Stereo

no code implementations CVPR 2017 Zhaopeng Cui, Jinwei Gu, Boxin Shi, Ping Tan, Jan Kautz

Multi-view stereo relies on feature correspondences for 3D reconstruction, and thus is fundamentally flawed in dealing with featureless scenes.

3D Reconstruction

Global Structure-From-Motion by Similarity Averaging

no code implementations ICCV 2015 Zhaopeng Cui, Ping Tan

Depth images help to upgrade an essential matrix to a similarity transformation, which can determine the scale of relative translation.

Structure from Motion Translation

Linear Global Translation Estimation with Feature Tracks

no code implementations6 Mar 2015 Zhaopeng Cui, Nianjuan Jiang, Chengzhou Tang, Ping Tan

This paper derives a novel linear position constraint for cameras seeing a common scene point, which leads to a direct linear method for global camera translation estimation.


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