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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 271–280 of 514 papers

TitleStatusHype
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
Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction—0
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction—0
Spatial Broadcast Decoder: A Simple Architecture for Disentangled Representations in VAEs—0
SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos—0
SpNeRF: Memory Efficient Sparse Volumetric Neural Rendering Accelerator for Edge Devices—0
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