Zobrazeno 1 - 10
of 7 450
pro vyhledávání: '"Guo-an Chen"'
Existing multi-view image generation methods often make invasive modifications to pre-trained text-to-image (T2I) models and require full fine-tuning, leading to (1) high computational costs, especially with large base models and high-resolution imag
Externí odkaz:
http://arxiv.org/abs/2412.03632
Autor:
Huang, Zehuan, Guo, Yuan-Chen, An, Xingqiao, Yang, Yunhan, Li, Yangguang, Zou, Zi-Xin, Liang, Ding, Liu, Xihui, Cao, Yan-Pei, Sheng, Lu
This paper introduces MIDI, a novel paradigm for compositional 3D scene generation from a single image. Unlike existing methods that rely on reconstruction or retrieval techniques or recent approaches that employ multi-stage object-by-object generati
Externí odkaz:
http://arxiv.org/abs/2412.03558
Decomposing physically-based materials from images into their constituent properties remains challenging, particularly when maintaining both computational efficiency and physical consistency. While recent diffusion-based approaches have shown promise
Externí odkaz:
http://arxiv.org/abs/2411.17515
Autor:
Yu, Xin, Yuan, Ze, Guo, Yuan-Chen, Liu, Ying-Tian, Liu, JianHui, Li, Yangguang, Cao, Yan-Pei, Liang, Ding, Qi, Xiaojuan
Publikováno v:
ACM Transactions on Graphics (TOG) 2024, Volume 43, Issue 6, Article No.: 213, Pages 1-14
While high-quality texture maps are essential for realistic 3D asset rendering, few studies have explored learning directly in the texture space, especially on large-scale datasets. In this work, we depart from the conventional approach of relying on
Externí odkaz:
http://arxiv.org/abs/2411.14740
Autor:
Yang, Yunhan, Huang, Yukun, Guo, Yuan-Chen, Lu, Liangjun, Wu, Xiaoyang, Lam, Edmund Y., Cao, Yan-Pei, Liu, Xihui
3D part segmentation is a crucial and challenging task in 3D perception, playing a vital role in applications such as robotics, 3D generation, and 3D editing. Recent methods harness the powerful Vision Language Models (VLMs) for 2D-to-3D knowledge di
Externí odkaz:
http://arxiv.org/abs/2411.07184
Search for Neutral Triple Gauge Couplings with $ZZ$ Production at Future Electron Positron Colliders
This study investigates Neutral Triple Gauge Couplings (nTGCs) through $ZZ$ production at future electron-positron colliders. The impact of beam polarization on cross section is analyzed. We compare the signals and backgrounds for five different $ZZ$
Externí odkaz:
http://arxiv.org/abs/2411.04804
Autor:
Sun, Jingxiang, Peng, Cheng, Shao, Ruizhi, Guo, Yuan-Chen, Zhao, Xiaochen, Li, Yangguang, Cao, Yanpei, Zhang, Bo, Liu, Yebin
We introduce DreamCraft3D++, an extension of DreamCraft3D that enables efficient high-quality generation of complex 3D assets. DreamCraft3D++ inherits the multi-stage generation process of DreamCraft3D, but replaces the time-consuming geometry sculpt
Externí odkaz:
http://arxiv.org/abs/2410.12928
In the presence of system-environment coupling, classical complex systems undergo stochastic dynamics, where rich phenomena can emerge at large spatio-temporal scales. To investigate these phenomena, numerical approaches for simulating stochastic dyn
Externí odkaz:
http://arxiv.org/abs/2403.09370
Autor:
Guo, Zhen-Chen, Liang, Xin
In this paper, we propose an RADI-type method for large-scale stochastic continuous-time algebraic Riccati equations with sparse and low-rank matrices. This new variant of RADI-type methods is developed by integrating the core concept of the original
Externí odkaz:
http://arxiv.org/abs/2403.02940
Self-supervised monocular depth estimation is of significant importance with applications spanning across autonomous driving and robotics. However, the reliance on self-supervision introduces a strong static-scene assumption, thereby posing challenge
Externí odkaz:
http://arxiv.org/abs/2312.13066