| PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths | 0 | 0.34 | 2023 |
| 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow | 0 | 0.34 | 2022 |
| Latent Partition Implicit with Surface Codes for 3D Representation | 0 | 0.34 | 2022 |
| Surface Reconstruction from Point Clouds by Learning Predictive Context Priors | 0 | 0.34 | 2022 |
| Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. | 0 | 0.34 | 2022 |
| Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds | 0 | 0.34 | 2022 |
| SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization | 0 | 0.34 | 2022 |
| Learning To Generate Dense Point Clouds With Textures On Multiple Categories | 1 | 0.35 | 2021 |
| CMPD: Using Cross Memory Network with Pair Discrimination for Image-Text Retrieval | 1 | 0.35 | 2021 |
| Active Arrangement of Small Objects in 3D Indoor Scenes | 0 | 0.34 | 2021 |
| Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views | 0 | 0.34 | 2021 |
| Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces | 0 | 0.34 | 2021 |
| Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. | 0 | 0.34 | 2021 |
| Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding | 4 | 0.39 | 2021 |
| PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths | 2 | 0.36 | 2021 |
| SnowflakeNet - Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. | 0 | 0.34 | 2021 |
| Point Cloud Completion By Skip-Attention Network With Hierarchical Folding | 12 | 0.49 | 2020 |
| LRC-Net: Learning discriminative features on point clouds by encoding local region contexts | 4 | 0.39 | 2020 |
| 3d Shape Completion With Multi-View Consistent Inference | 3 | 0.37 | 2020 |
| Sdfdiff: Differentiable Rendering Of Signed Distance Fields For 3d Shape Optimization | 8 | 0.44 | 2020 |
| CF-SIS: Semantic-Instance Segmentation of 3D Point Clouds by Context Fusion with Self-Attention | 1 | 0.35 | 2020 |
| DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images | 1 | 0.35 | 2020 |
| ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences | 0 | 0.34 | 2020 |
| 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN with Hierarchical Attention Aggregation. | 15 | 0.53 | 2019 |
| 3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. | 7 | 0.45 | 2019 |
| Emotion Reinforced Visual Storytelling. | 2 | 0.41 | 2019 |
| Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion. | 3 | 0.38 | 2019 |
| Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities | 2 | 0.38 | 2019 |
| L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention | 8 | 0.47 | 2019 |
| Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. | 6 | 0.41 | 2019 |
| Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy. | 9 | 0.47 | 2019 |
| SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention. | 28 | 0.90 | 2019 |
| Fast Low-rank Metric Learning for Large-scale and High-dimensional Data | 0 | 0.34 | 2019 |
| Stylistic scene enhancement GAN: mixed stylistic enhancement generation for 3D indoor scenes. | 5 | 0.63 | 2019 |
| Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network | 14 | 0.55 | 2018 |
| Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax. | 12 | 0.57 | 2018 |
| View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions | 9 | 0.45 | 2018 |
| Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. | 5 | 0.39 | 2018 |
| Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes. | 11 | 0.55 | 2017 |
| BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation. | 7 | 0.49 | 2017 |
| Semantic 3D indoor scene enhancement using guide words. | 2 | 0.37 | 2017 |
| Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine. | 10 | 0.52 | 2016 |
| User guided 3D scene enrichment. | 2 | 0.38 | 2016 |
| 3D shape creation by style transfer | 4 | 0.41 | 2015 |
