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Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Cameras

Autor: Liao, Zimu, Chen, Siyan, Fu, Rong, Wang, Yi, Su, Zhongling, Luo, Hao, Ma, Li, Xu, Linning, Dai, Bo, Li, Hengjie, Pei, Zhilin, Zhang, Xingcheng

Recently, 3D Gaussian Splatting (3DGS) has garnered attention for its high fidelity and real-time rendering. However, adapting 3DGS to different camera models, particularly fisheye lenses, poses challenges due to the unique 3D to 2D projection calcul

Externí odkaz: http://arxiv.org/abs/2409.04751

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FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering

Autor: Feng, Guofeng, Chen, Siyan, Fu, Rong, Liao, Zimu, Wang, Yi, Liu, Tao, Pei, Zhilin, Li, Hengjie, Zhang, Xingcheng, Dai, Bo

This work introduces FlashGS, an open-source CUDA Python library, designed to facilitate the efficient differentiable rasterization of 3D Gaussian Splatting through algorithmic and kernel-level optimizations. FlashGS is developed based on the observa

Externí odkaz: http://arxiv.org/abs/2408.07967

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Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Autor: Hu, Jintong, Chen, Siyan, Pan, Zhiyi, Zeng, Sen, Yang, Wenming

Precise segmentation of medical images is fundamental for extracting critical clinical information, which plays a pivotal role in enhancing the accuracy of diagnoses, formulating effective treatment plans, and improving patient outcomes. Although Con

Externí odkaz: http://arxiv.org/abs/2406.14052

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