Zobrazeno 1 - 10
of 541
pro vyhledávání: '"Chen, Guanying"'
This paper addresses the problem of inverse rendering from photometric images. Existing approaches for this problem suffer from the effects of self-shadows, inter-reflections, and lack of constraints on the surface reflectance, leading to inaccurate
Externí odkaz:
http://arxiv.org/abs/2408.06828
Autor:
Yan, Zizheng, Zhou, Jiapeng, Meng, Fanpeng, Wu, Yushuang, Qiu, Lingteng, Ye, Zisheng, Cui, Shuguang, Chen, Guanying, Han, Xiaoguang
Text-to-3D generation has recently seen significant progress. To enhance its practicality in real-world applications, it is crucial to generate multiple independent objects with interactions, similar to layer-compositing in 2D image editing. However,
Externí odkaz:
http://arxiv.org/abs/2407.16260
While recent advances in 3D-aware Generative Adversarial Networks (GANs) have aided the development of near-frontal view human face synthesis, the challenge of comprehensively synthesizing a full 3D head viewable from all angles still persists. Altho
Externí odkaz:
http://arxiv.org/abs/2404.05680
We present a neural radiance field method for urban-scale semantic and building-level instance segmentation from aerial images by lifting noisy 2D labels to 3D. This is a challenging problem due to two primary reasons. Firstly, objects in urban aeria
Externí odkaz:
http://arxiv.org/abs/2403.11812
Autor:
Kong, Zhe, Zhang, Yong, Yang, Tianyu, Wang, Tao, Zhang, Kaihao, Wu, Bizhu, Chen, Guanying, Liu, Wei, Luo, Wenhan
Personalization is an important topic in text-to-image generation, especially the challenging multi-concept personalization. Current multi-concept methods are struggling with identity preservation, occlusion, and the harmony between foreground and ba
Externí odkaz:
http://arxiv.org/abs/2403.10983
Autor:
Zhou, Yingbin, Sun, Yaping, Chen, Guanying, Xu, Xiaodong, Chen, Hao, Huang, Binhong, Cui, Shuguang, Zhang, Ping
Vector quantization-based image semantic communication systems have successfully boosted transmission efficiency, but face challenges with conflicting requirements between codebook design and digital constellation modulation. Traditional codebooks ne
Externí odkaz:
http://arxiv.org/abs/2401.01272
Autor:
Qiu, Lingteng, Chen, Guanying, Gu, Xiaodong, Zuo, Qi, Xu, Mutian, Wu, Yushuang, Yuan, Weihao, Dong, Zilong, Bo, Liefeng, Han, Xiaoguang
Lifting 2D diffusion for 3D generation is a challenging problem due to the lack of geometric prior and the complex entanglement of materials and lighting in natural images. Existing methods have shown promise by first creating the geometry through sc
Externí odkaz:
http://arxiv.org/abs/2311.16918
Semantic communication is widely touted as a key technology for propelling the sixth-generation (6G) wireless networks. However, providing effective semantic representation is quite challenging in practice. To address this issue, this article takes a
Externí odkaz:
http://arxiv.org/abs/2311.12443
Autor:
Guo, Xiang, Sun, Jiadai, Dai, Yuchao, Chen, Guanying, Ye, Xiaoqing, Tan, Xiao, Ding, Errui, Zhang, Yumeng, Wang, Jingdong
Publikováno v:
ICCV2023
This paper proposes a neural radiance field (NeRF) approach for novel view synthesis of dynamic scenes using forward warping. Existing methods often adopt a static NeRF to represent the canonical space, and render dynamic images at other time steps b
Externí odkaz:
http://arxiv.org/abs/2309.17390
Reconstructing dynamic 3D garment surfaces with open boundaries from monocular videos is an important problem as it provides a practical and low-cost solution for clothes digitization. Recent neural rendering methods achieve high-quality dynamic clot
Externí odkaz:
http://arxiv.org/abs/2305.14236