Results 31 to 40 of about 3,364 (218)
CoRRNovel view synthesis has experienced significant advancements owing to increasingly capable NeRF- and 3DGS-based methods. However, reflective object reconstruction remains challenging, lacking a proper solution to achieve real-time, high-quality rendering while accommodating inter-reflection.
Yuxuan Yao +4 more
openaire +3 more sources
Modeling Uncertainty for Gaussian Splatting
IEEE Transactions on Neural Networks and Learning SystemsWe present Stochastic Gaussian Splatting (SGS): the first framework for uncertainty estimation using Gaussian Splatting (GS). GS recently advanced the novel-view synthesis field by achieving impressive reconstruction quality at a fraction of the computational cost of Neural Radiance Fields (NeRF).
Aira Luca Savant +2 more
openaire +4 more sources
Splatshop: Efficiently Editing Large Gaussian Splat Models
Computer Graphics Forum, EarlyView.Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz +5 more
wiley +1 more source
BrushGaussian: Brushstroke-Based Stylization for 3D Gaussian Splatting
Applied SciencesWe 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 +2 more
doaj +1 more source
SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians
CoRR3D Gaussian Splatting is emerging as a state-of-the-art technique in novel view synthesis, recognized for its impressive balance between visual quality, speed, and rendering efficiency. However, reliance on third-degree spherical harmonics for color representation introduces significant storage demands and computational overhead, resulting in a large ...
Yiwen Wang, Siyuan Chen, Ran Yi
openaire +2 more sources
PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement
Computer Graphics Forum, EarlyView.We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang +4 more
wiley +1 more source
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials
, 2018 Dense conditional random fields (CRFs) have become a popular framework for modelling several problems in computer vision such as stereo correspondence and multi-class semantic segmentation.
Ajanthan, Thalaiyasingam +7 more
core +1 more source
DreamGaussian4D: Generative 4D Gaussian Splatting
CoRR, 2023 4D content generation has achieved remarkable progress recently. However, existing methods suffer from long optimization times, a lack of motion controllability, and a low quality of details. In this paper, we introduce DreamGaussian4D (DG4D), an efficient 4D generation framework that builds on Gaussian Splatting (GS). Our key insight is that combining
Jiawei Ren 0001 +6 more
openaire +2 more sources
NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis
Computer Graphics Forum, EarlyView.We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis +3 more
wiley +1 more source
Graphical ModelsWe introduce RMAvatar, a novel human avatar representation with Gaussian splatting embedded on mesh to learn clothed avatar from a monocular video.
Sen Peng +6 more
doaj +1 more source