Results 61 to 70 of about 2,209 (160)
EGENEFACE: HIGH QUALITY GENERALIZED TALKING FACE SYNTHESIZING ENABLED BY AUDIO [PDF]
Proceedings on Engineering SciencesA critical issue in virtual reality and filmmaking is the generation of photo-realistic video portraits from random spoken recordings. The use of neural radiance fields is to enhance 3D realism and image authenticity has been the subject of several ...
Nilam Thakkar +2 more
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Constraining the Geometry of NeRFs for Accurate DSM Generation from Multi-View Satellite Images
ISPRS International Journal of Geo-InformationNeural Radiance Fields (NeRFs) are an emerging approach to 3D reconstruction that use neural networks to reconstruct scenes. However, its applications for multi-view satellite photogrammetry, which aim to reconstruct the Earth’s surface, struggle to ...
Qifeng Wan +4 more
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Evaluating Radiance Field-Inspired Methods for 3D Indoor Reconstruction: A Comparative Analysis
BuildingsAn efficient and robust solution for 3D indoor reconstruction is crucial for various managerial operations in the Architecture, Engineering, and Construction (AEC) sector, such as indoor asset tracking and facility management.
Shuyuan Xu +3 more
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Version [7.1] – [IV-PSNR: Software for immersive video objective quality evaluation]
SoftwareXThis paper describes a new version of the IV-PSNR software, developed for the effective objective quality assessment of immersive video. Version 7.1 includes the calculation of structural similarity between compared sequences using the IV-SSIM metric ...
Jakub Stankowski, Adrian Dziembowski
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingWith the advancement of satellite imaging technology, acquiring high-resolution multiview satellite imagery has become increasingly accessible, enabling efficient and location-independent ground model reconstruction.
Tianle Liu +3 more
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MS-NeRF: Multi-Space Neural Radiance Fields
IEEE Transactions on Pattern Analysis and Machine IntelligenceExisting Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single radiance field, we propose a multi-space neural radiance field (MS-NeRF) that represents the scene using a group of feature fields in parallel sub-spaces, which leads to a ...
Ze-Xin Yin +4 more
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IEEE AccessRecent advances in neural rendering have shown that although computationally expensive and slow for training, implicit compact models can accurately learn a scene’s geometries and view-dependent appearances from multiple views.
Juan Luis Gonzalez Bello +2 more
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NeRF-Texture: Synthesizing Neural Radiance Field Textures
IEEE Transactions on Pattern Analysis and Machine IntelligenceTexture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in handling 2D image textures. In contrast, many real-world textures contain meso-structure in the 3D geometry space, such as grass, leaves, and fabrics, which cannot be effectively modeled using only 2D image textures.
Yi-Hua Huang +4 more
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SensorsVolume reconstruction techniques are gaining increasing interest in medical domains due to their potential to learn complex 3D structural information from sparse 2D images.
Haill An +4 more
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Interactive geometry editing of Neural Radiance Fields
DisplaysIn this paper, we propose a method that enables interactive geometry editing for neural radiance fields manipulation. We use two proxy cages(inner cage and outer cage) to edit a scene. The inner cage defines the operation target, and the outer cage defines the adjustment space. Various operations apply to the two cages. After cage selection, operations
Li, Shaoxu, Pan, Ye
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