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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 231–240 of 514 papers

TitleStatusHype
MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering—0
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
Mode-GS: Monocular Depth Guided Anchored 3D Gaussian Splatting for Robust Ground-View Scene Rendering—0
GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture TransferCode0
OPONeRF: One-Point-One NeRF for Robust Neural RenderingCode0
G3R: Gradient Guided Generalizable Reconstruction—0
UniCal: Unified Neural Sensor Calibration—0
DeformStream: Deformation-based Adaptive Volumetric Video Streaming—0
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark—0
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