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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 71–80 of 514 papers

TitleStatusHype
Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion StrategiesCode0
Large Body Language Models—0
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set—0
Fast and Accurate Neural Rendering Using Semi-Gradients—0
Improving 3D Finger Traits Recognition via Generalizable Neural Rendering—0
MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering—0
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering—0
SPA: 3D Spatial-Awareness Enables Effective Embodied RepresentationCode1
UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images—0
CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality—0
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