Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Liu, Yebin"'
Creating high-fidelity 3D human head avatars is crucial for applications in VR/AR, telepresence, digital human interfaces, and film production. Recent advances have leveraged morphable face models to generate animated head avatars from easily accessi
Externí odkaz:
http://arxiv.org/abs/2407.15070
We present a novel pipeline for learning high-quality triangular human avatars from multi-view videos. Recent methods for avatar learning are typically based on neural radiance fields (NeRF), which is not compatible with traditional graphics pipeline
Externí odkaz:
http://arxiv.org/abs/2407.08414
Despite significant strides in the field of 3D scene editing, current methods encounter substantial challenge, particularly in preserving 3D consistency in multi-view editing process. To tackle this challenge, we propose a progressive 3D editing stra
Externí odkaz:
http://arxiv.org/abs/2407.02034
Autor:
Pan, Panwang, Su, Zhuo, Lin, Chenguo, Fan, Zhen, Zhang, Yongjie, Li, Zeming, Shen, Tingting, Mu, Yadong, Liu, Yebin
Despite recent advancements in high-fidelity human reconstruction techniques, the requirements for densely captured images or time-consuming per-instance optimization significantly hinder their applications in broader scenarios. To tackle these issue
Externí odkaz:
http://arxiv.org/abs/2406.12459
Recent years have witnessed a trend of the deep integration of the generation and reconstruction paradigms. In this paper, we extend the ability of controllable generative models for a more comprehensive hand mesh recovery task: direct hand mesh gene
Externí odkaz:
http://arxiv.org/abs/2406.01334
Autor:
Lin, Dixuan, Zhang, Yuxiang, Li, Mengcheng, Liu, Yebin, Jing, Wei, Yan, Qi, Wang, Qianying, Zhang, Hongwen
In this paper, we introduce 4DHands, a robust approach to recovering interactive hand meshes and their relative movement from monocular inputs. Our approach addresses two major limitations of previous methods: lacking a unified solution for handling
Externí odkaz:
http://arxiv.org/abs/2405.20330
We present a novel approach for generating high-quality, spatio-temporally coherent human videos from a single image under arbitrary viewpoints. Our framework combines the strengths of U-Nets for accurate condition injection and diffusion transformer
Externí odkaz:
http://arxiv.org/abs/2405.17405
Estimating a consistently oriented normal vector field for an unoriented point cloud enables a number of important downstream applications in computer graphics. While normal estimation for a small patch of points can be done with simple techniques li
Externí odkaz:
http://arxiv.org/abs/2405.16634
Autor:
Tu, Hanzhang, Shao, Ruizhi, Dong, Xue, Zheng, Shunyuan, Zhang, Hao, Chen, Lili, Wang, Meili, Li, Wenyu, Ma, Siyan, Zhang, Shengping, Zhou, Boyao, Liu, Yebin
In this paper, we present a low-budget and high-authenticity bidirectional telepresence system, Tele-Aloha, targeting peer-to-peer communication scenarios. Compared to previous systems, Tele-Aloha utilizes only four sparse RGB cameras, one consumer-g
Externí odkaz:
http://arxiv.org/abs/2405.14866
Animatable clothing transfer, aiming at dressing and animating garments across characters, is a challenging problem. Most human avatar works entangle the representations of the human body and clothing together, which leads to difficulties for virtual
Externí odkaz:
http://arxiv.org/abs/2405.07319