A fast scene geometric modeling approach for digital twins combining neural rendering and model retrieval
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Computer Integrated Manufacturing"
DOI: 10.1080/0951192x.2024.2350539
Abstract: ABSTRACT Digital twin technology is a crucial driving technology for the realization of Industry 4.0, which enables simulation, analysis, and prediction by constructing geometric scenes that correspond to physical scenes. Current automation in scene modeling… read more here.
Keywords: scene; geometric modeling; fast scene; neural rendering ... See more keywords
An Overview of Neural Rendering Accelerators: Challenges, Trends, and Future Directions
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2025.3561777
Abstract: Rapid advancements in neural rendering have revolutionized the fields of augmented reality (AR) and virtual reality (VR) by enabling photorealistic 3D modeling and rendering. However, deploying neural rendering on edge devices presents significant challenges due… read more here.
Keywords: overview neural; accelerators challenges; future directions; rendering accelerators ... See more keywords
3D Snapshot: Invertible Embedding of 3D Neural Representations in a Single Image
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3411051
Abstract: 3D neural rendering enables photo-realistic reconstruction of a specific scene by encoding discontinuous inputs into a neural representation. Despite the remarkable rendering results, the storage of network parameters is not transmission-friendly and not extendable to… read more here.
Keywords: image; embedding neural; single image; neural rendering ... See more keywords
CrystalNet: Texture‐Aware Neural Refraction Baking for Global Illumination
Sign Up to like & getrecommendations! Published in 2024 at "Computer Graphics Forum"
DOI: 10.1111/cgf.15227
Abstract: Neural rendering bakes global illumination and other computationally costly effects into the weights of a neural network, allowing to efficiently synthesize photorealistic images without relying on path tracing. In neural rendering approaches, G‐buffers obtained from… read more here.
Keywords: texture; refraction; global illumination; neural rendering ... See more keywords