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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 391–400 of 514 papers

TitleStatusHype
Flexible Physical Camouflage Generation Based on a Differential Approach—0
FLex: Joint Pose and Dynamic Radiance Fields Optimization for Stereo Endoscopic Videos—0
Flying with Photons: Rendering Novel Views of Propagating Light—0
Free360: Layered Gaussian Splatting for Unbounded 360-Degree View Synthesis from Extremely Sparse and Unposed Views—0
From Flight to Insight: Semantic 3D Reconstruction for Aerial Inspection via Gaussian Splatting and Language-Guided Segmentation—0
FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions—0
G3R: Gradient Guided Generalizable Reconstruction—0
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds—0
Gated Fields: Learning Scene Reconstruction from Gated Videos—0
GaussianFocus: Constrained Attention Focus for 3D Gaussian Splatting—0
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