Results 91 to 100 of about 24,246 (264)
PBR‐Inspired Controllable Diffusion for Image Generation
Computer Graphics Forum, EarlyView.Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue +3 more
wiley +1 more source
Open-NeRF: Towards Open Vocabulary NeRF Decomposition
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)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
Hyperspectral Neural Radiance Field Method Based on Reference Spectrum
IEEE AccessThe Neural Radiance Field (NeRF) method for datasets is gaining attention for its wide applications and research value. Hyperspectral images have also gained many applications in recent years.
Runchuan Ma, Sailing He
doaj +1 more source
NERF-DRIVEN ALGORITHMS APPLIED ON 360 IMAGES FOR 3D MODELLING OF HERITAGE ASSET IN VIRTUAL ENVIRONMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThis 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
A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance
Computer Graphics Forum, EarlyView.Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen +2 more
wiley +1 more source
Neural Radiance Fields with Hash-Low-Rank Decomposition
Applied SciencesIn recent advancements in novel view synthesis and neural rendering, neural radiance field (NeRF) has emerged as a powerful technique for synthesizing high-quality novel views of complex 3D scenes.
Jiaxin Wang +3 more
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 +5 more
wiley +1 more source
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos
Proceedings of the AAAI Conference on Artificial IntelligenceRecent advancements in 4D scene reconstruction using neural radiance fields (NeRF) have demonstrated the ability to represent dynamic scenes from multi-view videos. However, they fail to reconstruct the dynamic scenes and struggle to fit even the training views in unsynchronized settings.
Seoha Kim +5 more
openaire +3 more sources
Despite conditional Neural Radiance Fields (NeRF) achieving great success in modeling audio-driven talking portraits, the generation quality is increasingly hampered by the lack of efficient use of space information.
Gu, L +5 more
core +1 more source
Remote SensingThis paper conducts a comparative evaluation between Neural Radiance Fields (NeRF) and photogrammetry for 3D reconstruction in the cultural heritage domain.
Valeria Croce +5 more
doaj +1 more source