no code implementations • 30 Nov 2023 • Yu Deng, Duomin Wang, Xiaohang Ren, Xingyu Chen, Baoyuan Wang
The key is to first learn a part-wise 4D generative model from monocular images via adversarial learning, to synthesize multi-view images of diverse identities and full motions as training data; then leverage a transformer-based animatable triplane reconstructor to learn 4D head reconstruction using the synthetic data.
no code implementations • ICCV 2023 • Xiaohang Ren, Xingyu Chen, Pengfei Yao, Heung-Yeung Shum, Baoyuan Wang
The SOTA face swap models still suffer the problem of either target identity (i. e., shape) being leaked or the target non-identity attributes (i. e., background, hair) failing to be fully preserved in the final results.
no code implementations • 7 Apr 2016 • Xiaohang Ren, Kai Chen, Jun Sun
The proposed Chinese text recognition algorithm is evaluated with two Chinese text datasets.
no code implementations • 7 Apr 2016 • Xiaohang Ren, Kai Chen, Jun Sun
In this paper, we propose a CNN based scene text detection algorithm with a new text region extractor.