Search Results for author: Tengfei Wang

Found 21 papers, 11 papers with code

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation

1 code implementation26 Sep 2024 Mengchen Zhang, Tong Wu, Tai Wang, Tengfei Wang, Ziwei Liu, Dahua Lin

6D object pose estimation aims at determining an object's translation, rotation, and scale, typically from a single RGBD image.

6D Pose Estimation 6D Pose Estimation using RGB +1

3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

1 code implementation19 Sep 2024 Zhaoxi Chen, Jiaxiang Tang, Yuhao Dong, Ziang Cao, Fangzhou Hong, Yushi Lan, Tengfei Wang, Haozhe Xie, Tong Wu, Shunsuke Saito, Liang Pan, Dahua Lin, Ziwei Liu

The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation.

MGFs: Masked Gaussian Fields for Meshing Building based on Multi-View Images

no code implementations6 Aug 2024 Tengfei Wang, Zongqian Zhan, Rui Xia, Linxia Ji, Xin Wang

Compared to the traditional photogrammetric and NeRF-based solutions, recently, Gaussian fields-based methods have exhibited significant potential in generating surface meshes due to their time-efficient training and detailed 3D information preservation.

Novel View Synthesis Surface Reconstruction

ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars

1 code implementation22 Mar 2024 Zhenwei Wang, Tengfei Wang, Gerhard Hancke, Ziwei Liu, Rynson W. H. Lau

To this end, we design a two-stage framework that draws a concept image first, followed by a reference-informed 3D modeling stage.

3D Generation Diversity +1

ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance

no code implementations19 Mar 2024 Yongwei Chen, Tengfei Wang, Tong Wu, Xingang Pan, Kui Jia, Ziwei Liu

Though promising results have been achieved in single object generation, these methods often struggle to model complex 3D assets that inherently contain multiple objects.

3D Generation Object

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

1 code implementation4 Mar 2024 Fangzhou Hong, Jiaxiang Tang, Ziang Cao, Min Shi, Tong Wu, Zhaoxi Chen, Shuai Yang, Tengfei Wang, Liang Pan, Dahua Lin, Ziwei Liu

Specifically, it is powered by a text-conditioned tri-plane latent diffusion model, which quickly generates coarse 3D samples for fast prototyping.

3D Generation Text to 3D +1

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

1 code implementation7 Feb 2024 Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang, Gang Zeng, Ziwei Liu

2) 3D Backbone: We present an asymmetric U-Net as a high-throughput backbone operating on multi-view images, which can be produced from text or single-view image input by leveraging multi-view diffusion models.

AscDAMs: Advanced SLAM-based channel detection and mapping system

no code implementations25 Jan 2024 Tengfei Wang, Fucheng Lu, Jintao Qin, Taosheng Huang, Hui Kong, Ping Shen

We demonstrate the capability of AscDAMs to greatly improve SLAM results, promoting SLAM for mapping the specially challenging environment.

Change Detection

Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

no code implementations CVPR 2023 Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo

This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields.

Computational Efficiency

3D GAN Inversion with Facial Symmetry Prior

no code implementations CVPR 2023 Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Oztireli, Yujiu Yang

It is natural to associate 3D GANs with GAN inversion methods to project a real image into the generator's latent space, allowing free-view consistent synthesis and editing, referred as 3D GAN inversion.

3D geometry Image Reconstruction +1

Bootstrap Motion Forecasting With Self-Consistent Constraints

no code implementations ICCV 2023 Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tengfei Wang, Tongyi Cao, Qifeng Chen

Also, to model the multi-modality in motion forecasting, we design a novel self-ensembling scheme to obtain accurate teacher targets to enforce the self-constraints with multi-modality supervision.

Motion Forecasting

Backward bifurcation and saddle-node bifurcation in virus-immune dynamics

no code implementations1 Dec 2021 Tengfei Wang, Shaoli Wang, Fei Xu

The values of backward bifurcation point and saddle node bifurcation point are the elite control threshold and post-treatment control threshold respectively.

Math

High-Fidelity GAN Inversion for Image Attribute Editing

1 code implementation CVPR 2022 Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, Qifeng Chen

With a low bit-rate latent code, previous works have difficulties in preserving high-fidelity details in reconstructed and edited images.

Attribute Generative Adversarial Network +2

Dual-Camera Super-Resolution with Aligned Attention Modules

2 code implementations ICCV 2021 Tengfei Wang, Jiaxin Xie, Wenxiu Sun, Qiong Yan, Qifeng Chen

We present a novel approach to reference-based super-resolution (RefSR) with the focus on dual-camera super-resolution (DCSR), which utilizes reference images for high-quality and high-fidelity results.

Domain Adaptation Reference-based Super-Resolution

Internal Video Inpainting by Implicit Long-range Propagation

1 code implementation ICCV 2021 Hao Ouyang, Tengfei Wang, Qifeng Chen

We propose a novel framework for video inpainting by adopting an internal learning strategy.

4k Object +2

Image Inpainting with External-internal Learning and Monochromic Bottleneck

1 code implementation CVPR 2021 Tengfei Wang, Hao Ouyang, Qifeng Chen

Although recent inpainting approaches have demonstrated significant improvements with deep neural networks, they still suffer from artifacts such as blunt structures and abrupt colors when filling in the missing regions.

Image Inpainting

Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records

no code implementations1 Aug 2020 Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao

The goal is to facilitate the learning process in the target segments by leveraging the learned knowledge from data-sufficient source segments.

Meta-Learning Relation

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