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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 21–30 of 514 papers

TitleStatusHype
RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective ObjectsCode1
SEGA: Drivable 3D Gaussian Head Avatar from a Single Image—0
SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAMCode0
ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos—0
UAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting—0
Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers—0
Free360: Layered Gaussian Splatting for Unbounded 360-Degree View Synthesis from Extremely Sparse and Unposed Views—0
GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting—0
MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities—0
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction—0
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