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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 176–200 of 246 papers

TitleStatusHype
Active Neural 3D Reconstruction with Colorized Surface Voxel-based View Selection—0
AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes—0
An Exploration of Neural Radiance Field Scene Reconstruction: Synthetic, Real-world and Dynamic Scenes—0
AniPixel: Towards Animatable Pixel-Aligned Human Avatar—0
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion—0
Automatic Objects Removal for Scene Completion—0
Autonomous Implicit Indoor Scene Reconstruction with Frontier Exploration—0
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion—0
Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth—0
Cascaded Classification Models: Combining Models for Holistic Scene Understanding—0
CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image—0
CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image—0
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization—0
CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database—0
Coherent 3D Scene Diffusion From a Single RGB Image—0
Consistent Generative Query Networks—0
Consistent Jumpy Predictions for Videos and Scenes—0
Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects—0
CRiM-GS: Continuous Rigid Motion-Aware Gaussian Splatting from Motion-Blurred Images—0
Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video—0
CT-NeRF: Incremental Optimizing Neural Radiance Field and Poses with Complex Trajectory—0
D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes—0
Deep Neural Networks for Accurate Depth Estimation with Latent Space Features—0
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting—0
Dehazing-NeRF: Neural Radiance Fields from Hazy Images—0
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