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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 426–450 of 514 papers

TitleStatusHype
PRIF: Primary Ray-based Implicit Function—0
Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis—0
Deep Billboards towards Lossless Real2Sim in Virtual Reality—0
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images—0
NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing—0
PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo—0
Neural Groundplans: Persistent Neural Scene Representations from a Single Image—0
Generalizable Patch-Based Neural Rendering—0
Geometry-aware Single-image Full-body Human Relighting—0
NARRATE: A Normal Assisted Free-View Portrait Stylizer—0
RigNeRF: Fully Controllable Neural 3D Portraits—0
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data—0
Generalizable Neural Radiance Fields for Novel View Synthesis with Transformer—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation—0
Physically-Based Editing of Indoor Scene Lighting from a Single Image—0
BodyMap: Learning Full-Body Dense Correspondence Map—0
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers—0
NeRF-Editing: Geometry Editing of Neural Radiance Fields—0
Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects—0
Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation—0
Differentiable Rendering for Synthetic Aperture Radar Imagery—0
Neural Rendering of Humans in Novel View and Pose from Monocular Video—0
DRaCoN -- Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars—0
Towards Learning Neural Representations from Shadows—0
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