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3D Scene Reconstruction

Creating 3D scene either using conventional SFM pipelines or latest deep learning approaches.

Papers

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Showing 21–30 of 246 papers

TitleStatusHype
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian SplattingsCode2
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance FieldsCode2
Hybrid 3D-4D Gaussian Splatting for Fast Dynamic Scene RepresentationCode2
Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene ReconstructionCode2
CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred ImagesCode2
Neural 3D Scene Reconstruction with the Manhattan-world AssumptionCode2
PanoDreamer: Optimization-Based Single Image to 360 3D Scene With DiffusionCode2
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single ViewCode2
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo datasetCode1
GRF: Learning a General Radiance Field for 3D Representation and RenderingCode1
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