Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Ren, Xingyu"'
VAR is a new generation paradigm that employs 'next-scale prediction' as opposed to 'next-token prediction'. This innovative transformation enables auto-regressive (AR) transformers to rapidly learn visual distributions and achieve robust generalizat
Externí odkaz:
http://arxiv.org/abs/2408.01181
In the context of proxy modeling for process systems, traditional data-driven deep learning approaches frequently encounter significant challenges, such as substantial training costs induced by large amounts of data, and limited generalization capabi
Externí odkaz:
http://arxiv.org/abs/2407.05232
Autor:
Ran, Zimin, Ren, Xingyu, An, Xiang, Yang, Kaicheng, Dai, Xiangzi, Feng, Ziyong, Guo, Jia, Zhu, Linchao, Deng, Jiankang
Recent 3D face reconstruction methods have made significant progress in shape estimation, but high-fidelity facial albedo reconstruction remains challenging. Existing methods depend on expensive light-stage captured data to learn facial albedo maps.
Externí odkaz:
http://arxiv.org/abs/2406.13149
4D head capture aims to generate dynamic topological meshes and corresponding texture maps from videos, which is widely utilized in movies and games for its ability to simulate facial muscle movements and recover dynamic textures in pore-squeezing. T
Externí odkaz:
http://arxiv.org/abs/2406.00440
Autor:
Ren, Xingyu, Deng, Jiankang, Cheng, Yuhao, Guo, Jia, Ma, Chao, Yan, Yichao, Zhu, Wenhan, Yang, Xiaokang
Recent 3D face reconstruction methods have made remarkable advancements, yet there remain huge challenges in monocular high-quality facial reflectance reconstruction. Existing methods rely on a large amount of light-stage captured data to learn facia
Externí odkaz:
http://arxiv.org/abs/2404.00301
Incompatibility between patient and donor is a major barrier in kidney transplantation (KT). The increasing shortage of kidney donors has driven the development of desensitization techniques to overcome this immunological challenge. Compared with com
Externí odkaz:
http://arxiv.org/abs/2212.01808
Publikováno v:
In Chemical Engineering Research and Design November 2024 211:299-317
Autor:
Ren, Xingyu, Lattas, Alexandros, Gecer, Baris, Deng, Jiankang, Ma, Chao, Yang, Xiaokang, Zafeiriou, Stefanos
Learning a dense 3D model with fine-scale details from a single facial image is highly challenging and ill-posed. To address this problem, many approaches fit smooth geometries through facial prior while learning details as additional displacement ma
Externí odkaz:
http://arxiv.org/abs/2203.09692
Autor:
Ren, Xingyu1 (AUTHOR) 18299520272@163.com, Zhang, Jiaojiao1 (AUTHOR), Dai, Anying1 (AUTHOR), Sun, Pengzhi1 (AUTHOR), Zhang, Yibo1 (AUTHOR), Jin, Lu1 (AUTHOR), Pan, Le1 (AUTHOR) chempan03@163.com
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9634. 13p.
Publikováno v:
In Chemical Engineering Journal 1 September 2024 495