Results 31 to 40 of about 429 (147)

GAGS: Gradient-Guided Adaptive Gaussian Splatting for Efficient and Geometry-Regularized Surface Reconstruction [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
While 3D Gaussian Splatting (3DGS) has advanced surface reconstruction, existing implementations face critical challenges in memory efficiency and geometric fidelity. Current approaches like PGSR generate excessive Gaussian primitives due to uncontrolled
Y. Hou, T. Wang, X. Wang, Z. Zhan
doaj   +1 more source

Style Brush: Guided Style Transfer for 3D Objects

Computer Graphics Forum, EarlyView.
We introduce Style Brush, a guided 3D style‐transfer method for textured meshes that provides precise creative control. It supports the use of multiple style images, smooth transitions and intuitive guidance, producing visually appealing textures that follow user intent as we demonstrate in our user study and results. Abstract We introduce Style Brush,
Áron Samuel Kovács, Pedro Hermosilla, Renata G. Raidou   +2 more
wiley   +1 more source

Gaussian Splatting in Style

3D scene stylization extends the work of neural style transfer to 3D. A vital challenge in this problem is to maintain the uniformity of the stylized appearance across multiple views. A vast majority of the previous works achieve this by training a 3D model for every stylized image and a set of multi-view images.
Abhishek Saroha, Mariia Gladkova, Cecilia Curreli, Dominik Muhle, Tarun Yenamandra, Daniel Cremers   +5 more
openaire   +2 more sources

VeGaS: Video Gaussian Splatting

Information Sciences
Implicit Neural Representations (INRs) employ neural networks to approximate discrete data as continuous functions. In the context of video data, such models can be utilized to transform the coordinates of pixel locations along with frame occurrence times (or indices) into RGB color values.
Weronika Smolak-Dyzewska, Dawid Malarz, Kornel Howil, Jan Kaczmarczyk, Marcin Mazur, Przemyslaw Spurek   +5 more
openaire   +3 more sources

BrushGaussian: Brushstroke-Based Stylization for 3D Gaussian Splatting

Applied Sciences
We present a method for enhancing 3D Gaussian Splatting primitives with brushstroke-aware stylization. Previous approaches to 3D style transfer are typically limited to color or texture modifications, lacking an understanding of artistic shape ...
Zhi-Zheng Xiang, Chun Xie, Itaru Kitahara   +2 more
doaj   +1 more source

RotGS: Rotation‐Guided 3D Gaussian Splatting for Turntable Sequences without Structure‐from‐Motion

Computer Graphics Forum, EarlyView.
Abstract The field of 3D reconstruction from multi‐view images has advanced rapidly thanks to 3D Gaussian Splatting (3DGS), which enables efficient and photorealistic scene representation. However, optimizing 3DGS requires high‐quality images from various viewpoints with accurate camera poses.
Kyumin Kim, Dohae Lee, Hanul Baek, In‐Kwon Lee   +3 more
wiley   +1 more source

Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography

CoRR
3D Gaussian Splatting (3DGS) has recently redefined the paradigm of 3D reconstruction, striking an unprecedented balance between visual fidelity and computational efficiency. As its adoption proliferates, safeguarding the copyright of explicit 3DGS assets has become paramount.
Yijia Guo, Wenkai Huang 0003, Tong Hu, Gaolei Li, Yang Li, Yuxin Hong, Liwen Hu, Xitong Ling, Jianhua Li 0001, Shengbo Chen, Tiejun Huang 0001, Lei Ma 0008   +11 more
openaire   +2 more sources

Structured-Li-GS: Structured 3D Gaussians Splatting with LiDAR Incorporation and Spatial Constraints [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
In this study, we develop a Structured framework for Gaussian Splatting (3DGS) with LiDAR integration (Structured-Li-GS). It is a lightweight Gaussian Splatting pipeline that leverages LiDAR–inertial–visual SLAM.
H. Weng, H. Li, C. M. Yeum
doaj   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

Mip-Splatting: Alias-Free 3D Gaussian Splatting

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Project page: https://niujinshuchong.github.io/mip-splatting/
Yu, Zehao, Chen, Anpei, Huang, Binbin, Sattler, Torsten, Geiger, Andreas   +4 more
openaire   +2 more sources