Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Wang, Yuehao"'
Autor:
Zheng, Yan, Liang, Zhenxiao, Cong, Xiaoyan, guo, Lanqing, Wang, Yuehao, Wang, Peihao, Wang, Zhangyang
We explore the oscillatory behavior observed in inversion methods applied to large-scale text-to-image diffusion models, with a focus on the "Flux" model. By employing a fixed-point-inspired iterative approach to invert real-world images, we observe
Externí odkaz:
http://arxiv.org/abs/2411.11135
Neural Radiance Fields (NeRF) achieves unprecedented performance in synthesizing novel view synthesis, utilizing multi-view consistency. When capturing multiple inputs, image signal processing (ISP) in modern cameras will independently enhance them,
Externí odkaz:
http://arxiv.org/abs/2406.00448
The healthcare industry has a growing need for realistic modeling and efficient simulation of surgical scenes. With effective models of deformable surgical scenes, clinicians are able to conduct surgical planning and surgery training on scenarios clo
Externí odkaz:
http://arxiv.org/abs/2404.15339
Autor:
Wang, Kailing, Yang, Chen, Wang, Yuehao, Li, Sikuang, Wang, Yan, Dou, Qi, Yang, Xiaokang, Shen, Wei
Precise camera tracking, high-fidelity 3D tissue reconstruction, and real-time online visualization are critical for intrabody medical imaging devices such as endoscopes and capsule robots. However, existing SLAM (Simultaneous Localization and Mappin
Externí odkaz:
http://arxiv.org/abs/2403.15124
Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal for advanced surgical systems. Existing methods either compromise on rendering quality or are excessively computationally intensive, often demanding dozens of
Externí odkaz:
http://arxiv.org/abs/2312.15253
Reconstructing deformable tissues from endoscopic stereo videos in robotic surgery is crucial for various clinical applications. However, existing methods relying only on implicit representations are computationally expensive and require dozens of ho
Externí odkaz:
http://arxiv.org/abs/2305.19906
Radiance fields have gradually become a main representation of media. Although its appearance editing has been studied, how to achieve view-consistent recoloring in an efficient manner is still under explored. We present RecolorNeRF, a novel user-fri
Externí odkaz:
http://arxiv.org/abs/2301.07958
Surgical robot automation has attracted increasing research interest over the past decade, expecting its potential to benefit surgeons, nurses and patients. Recently, the learning paradigm of embodied intelligence has demonstrated promising ability t
Externí odkaz:
http://arxiv.org/abs/2301.00452
Reconstruction of the soft tissues in robotic surgery from endoscopic stereo videos is important for many applications such as intra-operative navigation and image-guided robotic surgery automation. Previous works on this task mainly rely on SLAM-bas
Externí odkaz:
http://arxiv.org/abs/2206.15255
Graph Convolutional Networks (GCN) with multi-hop aggregation is more expressive than one-hop GCN but suffers from higher model complexity. Finding the shortest aggregation range that achieves comparable expressiveness and minimizes this side effect
Externí odkaz:
http://arxiv.org/abs/2110.07141