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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 81–90 of 514 papers

TitleStatusHype
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
GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual LocalizationCode2
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark—0
FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions—0
AIM 2024 Sparse Neural Rendering Challenge: Methods and Results—0
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