3D Semantic Scene Completion

This task was introduced in "Semantic Scene Completion from a Single Depth Image" (https://arxiv.org/abs/1611.08974) at CVPR 2017 . The target is to infer the dense 3D voxelized semantic scene from an incompleted 3D input (e.g. point cloud, depth map) and an optional RGB image. A recent summary can be found in the paper "3D Semantic Scene Completion: a Survey" (https://arxiv.org/abs/2103.07466), published at IJCV 2021.

Benchmarks

Libraries

Datasets

Subtasks

Most implemented papers

Semantic Scene Completion from a Single Depth Image

Content

LMSCNet: Lightweight Multiscale 3D Semantic Completion

Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction

3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior

SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

MonoScene: Monocular 3D Semantic Scene Completion

See and Think: Disentangling Semantic Scene Completion

Efficient Semantic Scene Completion Network with Spatial Group Convolution