Zobrazeno 1 - 10
of 619
pro vyhledávání: '"Ji, Pan"'
Autor:
Feng, Chengzeng, Wei, Jiacheng, Chen, Cheng, Li, Yang, Ji, Pan, Liu, Fayao, Li, Hongdong, Lin, Guosheng
We propose Prim2Room, a novel framework for controllable room mesh generation leveraging 2D layout conditions and 3D primitive retrieval to facilitate precise 3D layout specification. Diverging from existing methods that lack control and precision, o
Externí odkaz:
http://arxiv.org/abs/2409.05380
Autor:
Xu, Yongzhi, Ng, Yonhon, Wang, Yifu, Sa, Inkyu, Duan, Yunfei, Li, Yang, Ji, Pan, Li, Hongdong
3D Content Generation is at the heart of many computer graphics applications, including video gaming, film-making, virtual and augmented reality, etc. This paper proposes a novel deep-learning based approach for automatically generating interactive a
Externí odkaz:
http://arxiv.org/abs/2408.04567
Autor:
Tian, Minyang, Gao, Luyu, Zhang, Shizhuo Dylan, Chen, Xinan, Fan, Cunwei, Guo, Xuefei, Haas, Roland, Ji, Pan, Krongchon, Kittithat, Li, Yao, Liu, Shengyan, Luo, Di, Ma, Yutao, Tong, Hao, Trinh, Kha, Tian, Chenyu, Wang, Zihan, Wu, Bohao, Xiong, Yanyu, Yin, Shengzhu, Zhu, Minhui, Lieret, Kilian, Lu, Yanxin, Liu, Genglin, Du, Yufeng, Tao, Tianhua, Press, Ofir, Callan, Jamie, Huerta, Eliu, Peng, Hao
Since language models (LMs) now outperform average humans on many challenging tasks, it has become increasingly difficult to develop challenging, high-quality, and realistic evaluations. We address this issue by examining LMs' capabilities to generat
Externí odkaz:
http://arxiv.org/abs/2407.13168
Autor:
Cui, Ruikai, Song, Xibin, Sun, Weixuan, Wang, Senbo, Liu, Weizhe, Chen, Shenzhou, Shang, Taizhang, Li, Yang, Barnes, Nick, Li, Hongdong, Ji, Pan
Large Reconstruction Models have made significant strides in the realm of automated 3D content generation from single or multiple input images. Despite their success, these models often produce 3D meshes with geometric inaccuracies, stemming from the
Externí odkaz:
http://arxiv.org/abs/2405.15622
Autor:
Cui, Ruikai, Liu, Weizhe, Sun, Weixuan, Wang, Senbo, Shang, Taizhang, Li, Yang, Song, Xibin, Yan, Han, Wu, Zhennan, Chen, Shenzhou, Li, Hongdong, Ji, Pan
3D shape generation aims to produce innovative 3D content adhering to specific conditions and constraints. Existing methods often decompose 3D shapes into a sequence of localized components, treating each element in isolation without considering spat
Externí odkaz:
http://arxiv.org/abs/2403.18241
Autor:
Yan, Han, Li, Yang, Wu, Zhennan, Chen, Shenzhou, Sun, Weixuan, Shang, Taizhang, Liu, Weizhe, Chen, Tian, Dai, Xiaqiang, Ma, Chao, Li, Hongdong, Ji, Pan
We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in a single pass. Unlike existing methods that output a single, unified 3D shape, Frankenstein simultaneously generates multiple separated shapes,
Externí odkaz:
http://arxiv.org/abs/2403.16210
Autor:
Wu, Zhennan, Li, Yang, Yan, Han, Shang, Taizhang, Sun, Weixuan, Wang, Senbo, Cui, Ruikai, Liu, Weizhe, Sato, Hiroyuki, Li, Hongdong, Ji, Pan
We present BlockFusion, a diffusion-based model that generates 3D scenes as unit blocks and seamlessly incorporates new blocks to extend the scene. BlockFusion is trained using datasets of 3D blocks that are randomly cropped from complete 3D scene me
Externí odkaz:
http://arxiv.org/abs/2401.17053
Given a single image of a 3D object, this paper proposes a novel method (named ConsistNet) that is able to generate multiple images of the same object, as if seen they are captured from different viewpoints, while the 3D (multi-view) consistencies am
Externí odkaz:
http://arxiv.org/abs/2310.10343
While showing promising results, recent RGB-D camera-based category-level object pose estimation methods have restricted applications due to the heavy reliance on depth sensors. RGB-only methods provide an alternative to this problem yet suffer from
Externí odkaz:
http://arxiv.org/abs/2309.10255
Autor:
Ji, Pan
The building plumbing microbiome has important implications, especially in terms of its role as a reservoir and conduit for the spread of opportunistic pathogens (OPs), such as Legionella pneumophila. This dissertation applied next-generation DNA seq
Externí odkaz:
http://hdl.handle.net/10919/88848