Results 121 to 130 of about 2,779 (212)

Neural Vessel Segmentation and Gaussian Splatting for 3D Reconstruction of Cerebral Angiography

AI
Cerebrovascular diseases are a leading cause of global mortality, underscoring the need for objective and quantitative 3D visualization of cerebral vasculature from dynamic imaging modalities.
Oleh Kryvoshei, Patrik Kamencay, Ladislav Polak   +2 more
doaj   +1 more source

Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting

As 3D Gaussian Splatting (3DGS) provides fast and high-quality novel view synthesis, it is a natural extension to deform a canonical 3DGS to multiple frames for representing a dynamic scene. However, previous works fail to accurately reconstruct complex dynamic scenes. We attribute the failure to the design of the deformation field, which is built as a
Jeongmin Bae, Seoha Kim, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh   +5 more
openaire   +2 more sources

3D reconstruction for unconstrained image collections using Gaussian Splatting with foundation model

Geo-spatial Information Science
Achieving high-quality rendering with Gaussian Splatting for unconstrained image collections is critical for advancing 3D reconstruction. Currently, the methods using a single multi-layer perceptron and convolutional neural network to predict distractors
Shuowen Huang, Qingwu Hu, Pengcheng Zhao, Mingyao Ai, Xujie Zhang, Wenwu Ou, Linze Li   +6 more
doaj   +1 more source

Fast Feedforward 3D Gaussian Splatting Compression

Project Page: https://yihangchen-ee.github.io/project_fcgs/ Code: https://github.com/yihangchen-ee/fcgs/
Chen, Yihang, Wu, Qianyi, Li, Mengyao, Lin, Weiyao, Harandi, Mehrtash, Cai, Jianfei   +5 more
openaire   +2 more sources

ThermalGS: Dynamic 3D Thermal Reconstruction with Gaussian Splatting

Remote Sensing
Thermal infrared (TIR) images capture temperature in a non-invasive manner, making them valuable for generating 3D models that reflect the spatial distribution of thermal properties within a scene.
Yuxiang Liu, Xi Chen, Shen Yan, Zeyu Cui, Huaxin Xiao, Yu Liu, Maojun Zhang   +6 more
doaj   +1 more source

Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats

We introduce a simple yet effective approach for separating transmitted and reflected light. Our key insight is that the powerful novel view synthesis capabilities provided by modern inverse rendering methods (e.g.,~3D Gaussian splatting) allow one to perform flash/no-flash reflection separation using unpaired measurements -- this relaxation ...
Mingyang Xie, Haoming Cai, Sachin Shah, Yiran Xu, Brandon Y. Feng, Jia-Bin Huang, Christopher A. Metzler   +6 more
openaire   +2 more sources

RaDe-GS: Rasterizing Depth in Gaussian Splatting

Gaussian Splatting (GS) has proven to be highly effective in novel view synthesis, achieving high-quality and real-time rendering. However, its potential for reconstructing detailed 3D shapes has not been fully explored.
Fang, Chuan, Liang, Yixun, Long, Xiaoxiao, Shrestha, Rakesh, Tan, Ping, Zhang, Baowen   +5 more
core  

Characterizing Satellite Geometry via Accelerated 3D Gaussian Splatting

Aerospace
The accelerating deployment of spacecraft in orbit has generated interest in on-orbit servicing (OOS), inspection of spacecraft, and active debris removal (ADR).
Van Minh Nguyen, Emma Sandidge, Trupti Mahendrakar, Ryan T. White   +3 more
doaj   +1 more source

Subsurface Scattering for 3D Gaussian Splatting

3D reconstruction and relighting of objects made from scattering materials present a significant challenge due to the complex light transport beneath the surface. 3D Gaussian Splatting introduced high-quality novel view synthesis at real-time speeds.
Dihlmann, Jan-Niklas, Majumdar, Arjun, Engelhardt, Andreas, Braun, Raphael, Lensch, Hendrik P. A.   +4 more
openaire   +3 more sources

MVS-Splatting: Fast Multi-View Stereo Depth Fusion for 3D Gaussian Splatting Initialization

IEEE Access
Images and videos allow us to explore places and connect to people all around the world, in the present or past. What if we could break through the glass screen in front of us and step into those camera captures.
Julie Artois, Peter Lambert, Glenn van Wallendael   +2 more
doaj   +1 more source