3D Semantic Scene Completion from a single RGB image
11 papers with code • 3 benchmarks • 4 datasets
This task relies on a single RGB image to infer the dense 3D voxelized semantic scene.
NYUv2
SemanticKITTI
KITTI-360
SSCBench
Most implemented papers
LMSCNet: Lightweight Multiscale 3D Semantic Completion
cv-rits/LMSCNet
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We introduce a new approach for multiscale 3Dsemantic scene completion from voxelized sparse 3D LiDAR scans.
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
charlesCXK/3D-SketchAware-SSC
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CVPR 2020
To this end, we first propose a novel 3D sketch-aware feature embedding to explicitly encode geometric information effectively and efficiently.
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
yanx27/JS3C-Net
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In practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input.
MonoScene: Monocular 3D Semantic Scene Completion
cv-rits/MonoScene
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CVPR 2022
MonoScene proposes a 3D Semantic Scene Completion (SSC) framework, where the dense geometry and semantics of a scene are inferred from a single monocular RGB image.
Anisotropic Convolutional Networks for 3D Semantic Scene Completion
In contrast to the standard 3D convolution that is limited to a fixed 3D receptive field, our module is capable of modeling the dimensional anisotropy voxel-wisely.
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
nvlabs/voxformer
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CVPR 2023
To enable such capability in AI systems, we propose VoxFormer, a Transformer-based semantic scene completion framework that can output complete 3D volumetric semantics from only 2D images.
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
zhangyp15/occformer
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ICCV 2023
The vision-based perception for autonomous driving has undergone a transformation from the bird-eye-view (BEV) representations to the 3D semantic occupancy.
Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
hustvl/symphonies
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CVPR 2024
`3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal undertaking in autonomous driving, aiming to predict voxel occupancy within volumetric scenes.
NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space
Jiawei-Yao0812/NDCScene
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ICCV 2023
Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single image, requiring no 3D inputs.
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
In this paper, we present a novel context and geometry aware voxel transformer.
