3D reconstruction for unconstrained image collections using Gaussian Splatting with foundation model
Geo-spatial Information ScienceAchieving 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 +6 more
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Extending OGRE with Light Propagation Volumes [PDF]
, 2012 OGRE is a popular open source rendering engine that offers an extensive set of core features. For more advanced rendering techniques, however, the engine must be extended in various ways.
Elvek, Johan
core
Numerical investigation of turbulent channel flow [PDF]
Fully developed turbulent channel flow was simulated numerically at Reynolds number 13800, based on centerline velocity and channel halt width. The large-scale flow field was obtained by directly integrating the filtered, three dimensional, time ...
Kim, J., Moin, P.
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EVOLUTION OF RENDERING BASED ON RADIANCE FIELDS. THE PALERMO CASE STUDY FOR A COMPARISON BETWEEN NERF AND GAUSSIAN SPLATTING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIn recent years there has been a rapid diffusion of new digitization methodologies based on radiance fields and the implementation of new rendering processes and learning systems based on neural networks.
A. Basso +4 more
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Splat-Portrait: Generalizing Talking Heads with Gaussian Splatting
Talking Head Generation aims at synthesizing natural-looking talking videos from speech and a single portrait image. Previous 3D talking head generation methods have relied on domain-specific heuristics such as warping-based facial motion representation priors to animate talking motions, yet still produce inaccurate 3D avatar reconstructions, thus ...
Tong Shi +4 more
openaire +2 more sources
SGSST: Scaling Gaussian Splatting Style Transfer
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Applying style transfer to a full 3D environment is a challenging task that has seen many developments since the advent of neural rendering. 3D Gaussian splatting (3DGS) has recently pushed further many limits of neural rendering in terms of training speed and reconstruction quality. This work introduces SGSST: Scaling Gaussian Splatting Style Transfer,
Bruno Galerne +3 more
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DiffLiGS: Diffusion-Guided LiDAR-Enhanced 3D Gaussian Splatting
ISPRS International Journal of Geo-InformationMulti-view 3D reconstruction is essential for smart city, supporting applications such as smart city planning and autonomous navigation. While traditional reconstruction pipelines and recent neural implicit methods, such as NeRF, achieve high visual ...
Shucheng Gong +4 more
doaj +1 more source
Integration and Development of Common Data Environment Platforms for the Hybrid Visualization of Quantitative and Qualitative Data [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThe digitalization of architectural heritage requires the integration of interoperable tools for the documentation, modeling, and sharing of cultural assets.
M. Perticarini, A. Giordano
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SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction
, 2019 We contribute a dense SLAM system that takes a live stream of depth images as input and reconstructs non-rigid deforming scenes in real time, without templates or prior models.
Gao, Wei, Tedrake, Russ
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Integration of 3D Gaussian Splatting and Neural Radiance Fields in Virtual Reality Fire Fighting
Remote SensingNeural radiance fields (NeRFs) and 3D Gaussian splatting have emerged as promising 3D reconstruction techniques recently. However, their application in virtual reality (VR), particularly in firefighting training, remains underexplored.
Haojie Lian +5 more
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