Search Results for author: Weida Wang

Found 7 papers, 3 papers with code

Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription

no code implementations16 Mar 2024 Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma

This consequently limits the performance of downstream tasks, such as image-to-multiview generation and 3D reconstruction.

3D Reconstruction Novel View Synthesis

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio

1 code implementation4 Mar 2024 Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun

In this paper, we abstract the process of people hearing speech, extracting meaningful cues, and creating various dynamically audio-consistent talking faces, termed Listening and Imagining, into the task of high-fidelity diverse talking faces generation from a single audio.

Disentanglement

H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer

no code implementations19 Dec 2023 Yanru Wu, Jianning Wang, Weida Wang, Yang Li

In this work, we adopt an information theoretic perspective on it and propose a framework named H-ensemble, which dynamically learns the optimal linear combination, or ensemble, of source models for the target task, using a generalization of maximal correlation regression.

Transfer Learning

FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content

1 code implementation28 Aug 2023 Yang Liu, Cheng Yu, Lei Shang, Yongyi He, Ziheng Wu, Xingjun Wang, Chao Xu, Haoyu Xie, Weida Wang, Yuze Zhao, Lin Zhu, Chen Cheng, Weitao Chen, Yuan YAO, Wenmeng Zhou, Jiaqi Xu, Qiang Wang, Yingda Chen, Xuansong Xie, Baigui Sun

In this paper, we present FaceChain, a personalized portrait generation framework that combines a series of customized image-generation model and a rich set of face-related perceptual understanding models (\eg, face detection, deep face embedding extraction, and facial attribute recognition), to tackle aforementioned challenges and to generate truthful personalized portraits, with only a handful of portrait images as input.

Attribute Potrait Generation +1

How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?

no code implementations11 Jan 2023 Wenbo Shao, Yanchao Xu, Jun Li, Chen Lv, Weida Wang, Hong Wang

The results indicate that the deep ensemble-based method has advantages in improving prediction robustness and estimating epistemic uncertainty.

Autonomous Driving Decision Making +2

No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving Vehicles

no code implementations8 Dec 2022 Wenhao Yu, Chengxiang Zhao, Jiaxin Liu, Yingkai Yang, Xiaohan Ma, Jun Li, Weida Wang, Hong Wang, Ding Zhao, Xiaosong Hu

To address these challenges, this paper aims to digitize traffic law comprehensively and provide an application for online monitoring of legal driving behavior for autonomous vehicles.

Autonomous Driving Decision Making

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