Search Results for author: Tengfei Wang

Found 12 papers, 6 papers with code

Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

2 code implementations24 Mar 2023 Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen

In this work, we investigate the problem of creating high-fidelity 3D content from only a single image.

Text to 3D

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.

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.

Image Reconstruction Neural Rendering

Bootstrap Motion Forecasting With Self-Consistent Constraints

no code implementations12 Apr 2022 Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tengfei Wang, Tongyi Cao, Qifeng Chen

We present a novel framework for motion forecasting with Dual Consistency Constraints and Multi-Pseudo-Target 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.

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.

Image Manipulation Vocal Bursts Intensity Prediction

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

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.


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