Results 51 to 60 of about 10,601 (230)
Style Brush: Guided Style Transfer for 3D Objects
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 +2 more
wiley +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
IW-NeRF: Using Implicit Watermarks to Protect the Copyright of Neural Radiation Fields
The neural radiance field (NeRF) has demonstrated significant advancements in computer vision. However, the training process for NeRF models necessitates extensive computational resources and ample training data.
Lifeng Chen +5 more
doaj +1 more source
Detailed and realistic 3D environment representations have been a long-standing goal in the fields of computer vision and robotics. The recent emergence of neural implicit representations has introduced significant advances to these domains, enabling numerous novel capabilities.
Guangming Wang 0001 +9 more
openaire +2 more sources
RotGS: Rotation‐Guided 3D Gaussian Splatting for Turntable Sequences without Structure‐from‐Motion
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 +3 more
wiley +1 more source
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models [PDF]
The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world. However, it is still a very demanding task to repaint the content in NeRF.
Zhou, Xingchen +4 more
core +1 more source
With the continued development of spatial information technologies, Digital Surface Models (DSMs) have become fundamental data products for urban planning, virtual reality, geographic information systems, and digital-earth applications.
Zhihua Hu +6 more
doaj +1 more source
NERF-DRIVEN ALGORITHMS APPLIED ON 360 IMAGES FOR 3D MODELLING OF HERITAGE ASSET IN VIRTUAL ENVIRONMENT [PDF]
This study aims to fill a gap in existing research by focusing on the application of Neural Radiance Fields (NeRF) algorithms to cultural heritage case studies using equirectangular image data captured with 360° cameras.
F. Condorelli, A. Luigini
doaj +1 more source
Open-NeRF: Towards Open Vocabulary NeRF Decomposition
In this paper, we address the challenge of decomposing Neural Radiance Fields (NeRF) into objects from an open vocabulary, a critical task for object manipulation in 3D reconstruction and view synthesis. Current techniques for NeRF decomposition involve a trade-off between the flexibility of processing open-vocabulary queries and the accuracy of 3D ...
Hao Zhang 0122 +2 more
openaire +3 more sources
3D Character Reconstruction from Hand‐drawn Model Sheets
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon +3 more
wiley +1 more source

