Zobrazeno 1 - 10
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pro vyhledávání: '"Feng, Yao"'
Numerous methods have been proposed to detect, estimate, and analyze properties of people in images, including the estimation of 3D pose, shape, contact, human-object interaction, emotion, and more. Each of these methods works in isolation instead of
Externí odkaz:
http://arxiv.org/abs/2405.04533
We address the problem of regressing 3D human pose and shape from a single image, with a focus on 3D accuracy. The current best methods leverage large datasets of 3D pseudo-ground-truth (p-GT) and 2D keypoints, leading to robust performance. With suc
Externí odkaz:
http://arxiv.org/abs/2404.16752
Autor:
Wu, Keyu, Yang, Lingchen, Kuang, Zhiyi, Feng, Yao, Han, Xutao, Shen, Yuefan, Fu, Hongbo, Zhou, Kun, Zheng, Youyi
Undoubtedly, high-fidelity 3D hair is crucial for achieving realism, artistic expression, and immersion in computer graphics. While existing 3D hair modeling methods have achieved impressive performance, the challenge of achieving high-quality hair r
Externí odkaz:
http://arxiv.org/abs/2403.18356
We introduce ChatPose, a framework employing Large Language Models (LLMs) to understand and reason about 3D human poses from images or textual descriptions. Our work is motivated by the human ability to intuitively understand postures from a single i
Externí odkaz:
http://arxiv.org/abs/2311.18836
Autor:
Liu, Weiyang, Qiu, Zeju, Feng, Yao, Xiu, Yuliang, Xue, Yuxuan, Yu, Longhui, Feng, Haiwen, Liu, Zhen, Heo, Juyeon, Peng, Songyou, Wen, Yandong, Black, Michael J., Weller, Adrian, Schölkopf, Bernhard
Large foundation models are becoming ubiquitous, but training them from scratch is prohibitively expensive. Thus, efficiently adapting these powerful models to downstream tasks is increasingly important. In this paper, we study a principled finetunin
Externí odkaz:
http://arxiv.org/abs/2311.06243
Autor:
Liu, Zhen, Feng, Yao, Xiu, Yuliang, Liu, Weiyang, Paull, Liam, Black, Michael J., Schölkopf, Bernhard
The creation of photorealistic virtual worlds requires the accurate modeling of 3D surface geometry for a wide range of objects. For this, meshes are appealing since they 1) enable fast physics-based rendering with realistic material and lighting, 2)
Externí odkaz:
http://arxiv.org/abs/2310.15168
Autor:
Wen, Yandong, Liu, Weiyang, Feng, Yao, Raj, Bhiksha, Singh, Rita, Weller, Adrian, Black, Michael J., Schölkopf, Bernhard
In this paper, we focus on a general yet important learning problem, pairwise similarity learning (PSL). PSL subsumes a wide range of important applications, such as open-set face recognition, speaker verification, image retrieval and person re-ident
Externí odkaz:
http://arxiv.org/abs/2310.09449
Our goal is to create a realistic 3D facial avatar with hair and accessories using only a text description. While this challenge has attracted significant recent interest, existing methods either lack realism, produce unrealistic shapes, or do not su
Externí odkaz:
http://arxiv.org/abs/2309.07125
Tremendous efforts have been made to learn animatable and photorealistic human avatars. Towards this end, both explicit and implicit 3D representations are heavily studied for a holistic modeling and capture of the whole human (e.g., body, clothing,
Externí odkaz:
http://arxiv.org/abs/2309.06441
Autor:
Feng, Yao, Iriarte, Fernando
Publikováno v:
marcoELE. Revista de Didáctica Español Lengua Extranjera (2018)
Este trabajo se enmarca en el análisis de estrategias de aprendizaje que utilizan los estudiantes chinos en el aprendizaje de español. El diseño es cuantitativo; para realizar el objetivo del estudio, se adapta el cuestionario Strategy Inventory f
Externí odkaz:
https://doaj.org/article/88e729aa857c4774aa139a08b8c710c9