Search Results for author: Yujin Chen

Found 12 papers, 3 papers with code

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

no code implementations28 Mar 2024 Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner

In Mesh2NeRF, we propose an analytic solution to directly obtain ground-truth radiance fields from 3D meshes, characterizing the density field with an occupancy function featuring a defined surface thickness, and determining view-dependent color through a reflection function considering both the mesh and environment lighting.

PHRIT: Parametric Hand Representation with Implicit Template

no code implementations ICCV 2023 Zhisheng Huang, Yujin Chen, Di Kang, Jinlu Zhang, Zhigang Tu

We propose PHRIT, a novel approach for parametric hand mesh modeling with an implicit template that combines the advantages of both parametric meshes and implicit representations.

3D Reconstruction Single-View 3D Reconstruction

SSR-2D: Semantic 3D Scene Reconstruction from 2D Images

no code implementations7 Feb 2023 Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner

In this work, we explore a central 3D scene modeling task, namely, semantic scene reconstruction without using any 3D annotations.

3D Scene Reconstruction Colorization +1

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

1 code implementation CVPR 2022 Jinlu Zhang, Zhigang Tu, Jianyu Yang, Yujin Chen, Junsong Yuan

Recent transformer-based solutions have been introduced to estimate 3D human pose from 2D keypoint sequence by considering body joints among all frames globally to learn spatio-temporal correlation.

Monocular 3D Human Pose Estimation

Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition

no code implementations8 Feb 2022 Zhigang Tu, Jiaxu Zhang, Hongyan Li, Yujin Chen, Junsong Yuan

In recent years, graph convolutional networks (GCNs) play an increasingly critical role in skeleton-based human action recognition.

Action Recognition Pose Prediction +2

Model-based 3D Hand Reconstruction via Self-Supervised Learning

1 code implementation CVPR 2021 Yujin Chen, Zhigang Tu, Di Kang, Linchao Bao, Ying Zhang, Xuefei Zhe, Ruizhi Chen, Junsong Yuan

For the first time, we demonstrate the feasibility of training an accurate 3D hand reconstruction network without relying on manual annotations.

Self-Supervised Learning

I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling

no code implementations ICCV 2021 Ping Chen, Yujin Chen, Dong Yang, Fangyin Wu, Qin Li, Qingpei Xia, Yong Tan

Reconstructing a high-precision and high-fidelity 3D human hand from a color image plays a central role in replicating a realistic virtual hand in human-computer interaction and virtual reality applications.

Image Super-Resolution Image-to-Image Translation +1

SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning

no code implementations ICCV 2019 Yujin Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen, Junsong Yuan

Since the HFE and the HFD can be trained without 3D hand pose annotation, the proposed method is able to make the best of unannotated data during the training phase.

3D Hand Pose Estimation

Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-Free

1 code implementation journal 2018 Yujin Chen, Ruizhi Chen, Mengyun Liu, Aoran Xiao, Dewen Wu and Shuheng Zhao

The first one is CNN-based image retrieval phase, CNN features extracted by pre-trained deep convolutional neural networks (DCNNs) from images are utilized to compare the similarity, and the output of this part are the matched images of the target image.

Image Retrieval Indoor Localization +4

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