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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 251–275 of 514 papers

TitleStatusHype
Rendering Humans from Object-Occluded Monocular Videos—0
Re-Nerfing: Improving Novel View Synthesis through Novel View Synthesis—0
RigNeRF: Fully Controllable Neural 3D Portraits—0
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding—0
Robust Pose Transfer with Dynamic Details using Neural Video Rendering—0
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF—0
RPNR: Robust-Perception Neural Reshading—0
SAGS: Structure-Aware 3D Gaussian Splatting—0
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos—0
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching—0
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields—0
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering—0
SE(3) Equivariant Convolution and Transformer in Ray Space—0
SE(3) Equivariant Convolution and Transformer in Ray Space—0
Equivariant Light Field Convolution and Transformer—0
Neural Groundplans: Persistent Neural Scene Representations from a Single Image—0
SEGA: Drivable 3D Gaussian Head Avatar from a Single Image—0
Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering—0
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing—0
Sequential View Synthesis with Transformer—0
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance—0
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior—0
SGSST: Scaling Gaussian Splatting Style Transfer—0
Sharpening Your Density Fields: Spiking Neuron Aided Fast Geometry Learning—0
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data—0
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