Search Results for author: Jiacheng Wei

Found 11 papers, 7 papers with code

Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D Generation

no code implementations27 May 2024 Zhoujie Fu, Jiacheng Wei, Wenhao Shen, Chaoyue Song, Xiaofeng Yang, Fayao Liu, Xulei Yang, Guosheng Lin

In this work, we introduce a novel approach for creating controllable dynamics in 3D-generated Gaussians using casually captured reference videos.

Video Generation

REACTO: Reconstructing Articulated Objects from a Single Video

no code implementations CVPR 2024 Chaoyue Song, Jiacheng Wei, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu

In this paper, we address the challenge of reconstructing general articulated 3D objects from a single video.

Learning-Based Biharmonic Augmentation for Point Cloud Classification

no code implementations10 Nov 2023 Jiacheng Wei, Guosheng Lin, Henghui Ding, Jie Hu, Kim-Hui Yap

Point cloud datasets often suffer from inadequate sample sizes in comparison to image datasets, making data augmentation challenging.

Classification Data Augmentation +2

MoDA: Modeling Deformable 3D Objects from Casual Videos

1 code implementation17 Apr 2023 Chaoyue Song, Jiacheng Wei, Tianyi Chen, YiWen Chen, Chuan Sheng Foo, Fayao Liu, Guosheng Lin

To solve this problem, we propose neural dual quaternion blend skinning (NeuDBS) to achieve 3D point deformation, which can perform rigid transformation without skin-collapsing artifacts.

TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision

1 code implementation CVPR 2023 Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap

We conduct extensive experiments to analyze each of our proposed components and show the efficacy of our framework in generating high-fidelity 3D textured and text-relevant shapes.


Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction

1 code implementation18 Nov 2022 Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin

With $G$ as the basic component, we propose a cross consistency learning scheme and a dual reconstruction objective to learn the pose transfer without supervision.

Pose Transfer

Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation

1 code implementation CVPR 2022 Hanyu Shi, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin

We propose a novel temporal-spatial framework for effective weakly supervised learning to generate high-quality pseudo labels from these limited annotated data.

Point Cloud Segmentation Scene Understanding +2

3D Pose Transfer with Correspondence Learning and Mesh Refinement

1 code implementation NeurIPS 2021 Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin

It aims to transfer the pose of a source mesh to a target mesh and keep the identity (e. g., body shape) of the target mesh.

3D Generation Pose Transfer

Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds

no code implementations23 Jul 2021 Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Fayao Liu, Tzu-Yi Hung

While dense labeling on 3D data is expensive and time-consuming, only a few works address weakly supervised semantic point cloud segmentation methods to relieve the labeling cost by learning from simpler and cheaper labels.

Point Cloud Segmentation Scene Understanding +3

Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds

1 code implementation CVPR 2020 Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi Hung, Lihua Xie

To the best of our knowledge, this is the first method that uses cloud-level weak labels on raw 3D space to train a point cloud semantic segmentation network.

3D Semantic Segmentation Point Cloud Segmentation +2

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