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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 61–70 of 246 papers

TitleStatusHype
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos—0
WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian SplattingCode2
V^2-SfMLearner: Learning Monocular Depth and Ego-motion for Multimodal Wireless Capsule Endoscopy—0
LiHi-GS: LiDAR-Supervised Gaussian Splatting for Highway Driving Scene Reconstruction—0
MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data—0
CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image—0
Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile RobotsCode1
Coherent 3D Scene Diffusion From a Single RGB Image—0
Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene ReconstructionCode2
PanoDreamer: Optimization-Based Single Image to 360 3D Scene With DiffusionCode2
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