2 code implementations • 24 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.
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.
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.
2 code implementations • 25 May 2022 • Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
We propose to use pretraining to boost general image-to-image translation.
no code implementations • 15 May 2022 • Shaoli Wang, Tengfei Wang, Ya-nen Qi, Fei Xu
That is, the system has backward bifurcation and the disease cannot be eradicated.
no code implementations • 12 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.
Ranked #9 on
Motion Forecasting
on Argoverse CVPR 2020
no code implementations • 1 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.
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.
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.
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.
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.
no code implementations • 1 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.