3D Bounding Box Estimation Using Deep Learning and Geometry.png
3D Object Recognition Based on Volumetric Representation Using Convolutional Neural Networks.png
3D-RCNN- Instance-level 3D Object Reconstruction via Render-and-Compare (2018 CVPR).jpeg
A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method (2016).png
A Point Set Generation Network for 3D Object Reconstruction from a Single Image (2017).jpeg
A Probabilistic Model for Component-Based Shape Synthesis.png
A Survey of 3D Indoor Scene Synthesis.jpg
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition (2017).png
Appearance Modeling via Proxy-to-Image Alignment.png
Automatic 3D Indoor Scene Modeling from Single Panorama (2018 CVPR).jpeg
Complete 3D Scene Parsing from Single RGBD Image.jpeg
DeLay-Robust Spatial Layout Estimation for Cluttered Indoor Scenes.png
Deep Generative Modeling for Scene Synthesis via Hybrid Representations (2018).jpeg
Exploring Generative 3D Shapes Using Autoencoder Networks.jpeg
Fast and Flexible Indoor scene synthesis via Deep Convolutional Generative Models.jpg
Generic 3D Representation via Pose Estimation and Matching.jpeg
Gibson Environment- Real-World Perception for Embodied Agents (2018 CVPR) .jpeg
Global-to-Local Generative Model for 3D Shapes.jpg
Human-centric metrics for indoor scene assessment and synthesis.jpg
Image-Based Localization Using Hourglass Networks.png
Image-based localization using LSTMs for structured feature correlation.png
Interchangeable Components for Hands-On Assembly Based Modeling.png
Joint Material and Illumination Estimation from Photo Sets in the Wild.jpeg
Learning Informative Edge Maps for Indoor Scene Layout Prediction.png
Learning Material-Aware Local Descriptors for 3D Shapes (2018).jpeg
Learning Part-based Templates from Large Collections of 3D Shapes.png
Learning View Priors for Single-view 3D Reconstruction.png
Matryoshka Networks- Predicting 3D Geometry via Nested Shape Layers (2018 CVPR).jpeg
Modeling Uncertainty in Deep Learning for Camera Relocalization.jpeg
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation.png
Object Detection in 3D Scenes Using CNNs in Multi-view Images.png
OctNetFusion- Learning Depth Fusion from Data.jpeg
PCPNET Learning Local Shape Properties from Raw Point Clouds (2017).jpeg
Pix3D - Dataset and Methods for Single-Image 3D Shape Modeling (2018 CVPR).png
PointGrid- A Deep Network for 3D Shape Understanding (2018).jpeg
PointNet++- Deep Hierarchical Feature Learning on Point Sets in a Metric Space.png
Predicting Complete 3D Models of Indoor Scenes.png
Princeton Shape Benchmark (2003).jpeg
Recovering the Spatial Layout of Cluttered Rooms.png
Relative Camera Pose Estimation Using Convolutional Neural Networks.png
Robust camera pose estimation by viewpoint classification using deep learning.jpeg
SPLATNet- Sparse Lattice Networks for Point Cloud Processing.jpeg
Scaling CNN Reconstruction.png
SceneSuggest -Context-driven 3D Scene Design (2017).png
Semantic Segmentation of Indoor Point Clouds using Convolutional Neural Networks.png
Structure Recovery by Part Assembly.png
Synthesizing Open Worlds with Constraints using Locally Annealed Reversible Jump MCMC (2012).jpeg
Tag Disentangled Generative Adversarial Networks for Object Image Re-rendering.jpeg
Texture Synthesis Using Convolutional Neural Networks.jpeg
The Clutterpalette- An Interactive Tool for Detailing Indoor Scenes.png
Three-Dimensional Object Detection and Layout Prediction using Clouds of Oriented Gradients.png
Viewpoints and Keypoints.jpeg
Visual Object Networks- Image Generation with Disentangled 3D Representation (2018).jpeg
Weakly supervised 3D Reconstruction with Adversarial Constraint (2017).jpeg
combinatorial_3d_shape_dataset.png
pixels-voxels-views-rgb2mesh.png
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