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Neural Rendering

Given a representation of a 3D scene of some kind (point cloud, mesh, voxels, etc.), the task is to create an algorithm that can produce photorealistic renderings of this scene from an arbitrary viewpoint. Sometimes, the task is accompanied by image/scene appearance manipulation.

Papers

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Showing 291–300 of 514 papers

TitleStatusHype
Towards Learning Neural Representations from Shadows—0
Towards More Accurate Fake Detection on Images Generated from Advanced Generative and Neural Rendering Models—0
Towards Transferable Multi-modal Perception Representation Learning for Autonomy: NeRF-Supervised Masked AutoEncoder—0
UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting—0
UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception—0
UAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting—0
UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene—0
UniCal: Unified Neural Sensor Calibration—0
Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers—0
Unsupervised Learning of Style-Aware Facial Animation from Real Acting Performances—0
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