Point cloud reconstruction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 46 papers with code (101 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• PointMixer: MLP-Mixer for Point Cloud Understanding
  22 Nov 2021 3 repositories listed
  MLP-Mixer has newly appeared as a new challenger against the realm of CNNs and transformer.
• YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
  7 Aug 2018 3 repositories listed
  LiDAR sensors are employed to provide the 3D point cloud reconstruction of the surrounding environment, while the task of 3D object bounding box detection in real time remains a strong algorithmic challenge.
• SO-Net: Self-Organizing Network for Point Cloud Analysis
  12 Mar 2018 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  This paper presents SO-Net, a permutation invariant architecture for deep learning with orderless point clouds.
• Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
  21 Jul 2020 2 repositories listed Syntology ran 7 of 33 samples · 26 unverified
  In this paper, we propose an efficient and effective dense hybrid recurrent multi-view stereo net with dynamic consistency checking, namely $D^{2}$HC-RMVSNet, for accurate dense point cloud reconstruction.
• Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction
  26 Jun 2025 1 repository listed
  This paper presents an end-to-end framework for reconstructing 3D parametric curves directly from multi-view edge maps.
• VGGT: Visual Geometry Grounded Transformer
  14 Mar 2025 1 repository listed
  We present VGGT, a feed-forward neural network that directly infers all key 3D attributes of a scene, including camera parameters, point maps, depth maps, and 3D point tracks, from one, a few, or hundreds of its views.
• BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation
  15 Jan 2025 1 repository listed
  To this end, we propose BloomScene, a lightweight structured 3D Gaussian splatting for crossmodal scene generation, which creates diverse and high-quality 3D scenes from text or image inputs.
• ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction
  25 Dec 2024 1 repository listed
  The learned multimodal features are fed into a transformer-based decoder for high-resolution point cloud reconstruction.
• DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions
  14 Dec 2024 1 repository listed
  To bridge this gap, we introduce the first comprehensive benchmark designed to evaluate the robustness of collaborative perception methods in the presence of natural corruptions typical of real-world environments.
• fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence
  1 Jul 2024 1 repository listed
  We present fVDB, a novel GPU-optimized framework for deep learning on large-scale 3D data.
• Unsupervised Occupancy Learning from Sparse Point Cloud
  3 Apr 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Implicit Neural Representations have gained prominence as a powerful framework for capturing complex data modalities, encompassing a wide range from 3D shapes to images and audio.
• Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion features
  1 Apr 2024 1 repository listed
  Existing deep learning methods for the reconstruction and denoising of point clouds rely on small datasets of 3D shapes.
• Learnable Chamfer Distance for Point Cloud Reconstruction
  27 Dec 2023 1 repository listed
  As point clouds are 3D signals with permutation invariance, most existing works train their reconstruction networks by measuring shape differences with the average point-to-point distance between point clouds matched…
• DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
  6 Dec 2023 1 repository listed
  By the nature of this reconstruction process, DiffPMAE can be extended to many related downstream tasks including point cloud compression, upsampling and completion.
• Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model
  21 Nov 2023 1 repository listed
  Feedforward generalizable models for implicit shape reconstruction from unoriented point cloud present multiple advantages, including high performance and inference speed.
• Lightweight super resolution network for point cloud geometry compression
  2 Nov 2023 1 repository listed
  This paper presents an approach for compressing point cloud geometry by leveraging a lightweight super-resolution network.
• PAPR: Proximity Attention Point Rendering
  20 Jul 2023 1 repository listed
  PAPR effectively learns point cloud positions to represent the correct scene geometry, even when the initialization drastically differs from the target geometry.
• Variational Autoencoding of Dental Point Clouds
  20 Jul 2023 1 repository listed
  Digital dentistry has made significant advancements, yet numerous challenges remain.
• Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction
  28 Jun 2023 1 repository listed
  Surface reconstruction from raw point clouds has been studied for decades in the computer graphics community, which is highly demanded by modeling and rendering applications nowadays.
• APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction
  4 May 2023 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  Such features are then used for online distant point cloud registration.
• Energy-Based Sliced Wasserstein Distance
  26 Apr 2023 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  The second approach is optimizing for the best distribution which belongs to a parametric family of distributions and can maximize the expected distance.
• Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
  12 Jan 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  Despite being efficient, Max-SW and its amortized version cannot guarantee metricity property due to the sub-optimality of the projected gradient ascent and the amortization gap.
• Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation
  1 Jan 2023 1 repository listed
  Category-level 6DoF object pose estimation intends to estimate the rotation, translation, and size of unseen objects.
• Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
  23 Nov 2022 1 repository listed
  Importantly, we formulate the lightweight plug-in S2D module and the point cloud reconstruction module in SDet to densify 3D features and train SDet to produce 3D features, following the dense 3D features in DDet.
• Cross-modal Learning for Image-Guided Point Cloud Shape Completion
  20 Sep 2022 1 repository listed Syntology ran 4 of 11 samples · 7 unverified
  In this paper we explore the recent topic of point cloud completion, guided by an auxiliary image.
• PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
  22 Aug 2022 1 repository listed
  The performance of PU-MFA was compared with other state-of-the-art methods through various experiments using the PU-GAN dataset, which is a synthetic point cloud dataset, and the KITTI dataset, which is the real-scanned…
• Masked Surfel Prediction for Self-Supervised Point Cloud Learning
  7 Jul 2022 1 repository listed Syntology ran 2 of 8 samples · 6 unverified
  In this work, we make the first attempt, to the best of our knowledge, to consider the local geometry information explicitly into the masked auto-encoding, and propose a novel Masked Surfel Prediction (MaskSurf) method.
• Masked Autoencoders in 3D Point Cloud Representation Learning
  4 Jul 2022 1 repository listed
  We first split the input point cloud into patches and mask a portion of them, then use our Patch Embedding Module to extract the features of unmasked patches.
• Autoregressive 3D Shape Generation via Canonical Mapping
  5 Apr 2022 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  With the capacity of modeling long-range dependencies in sequential data, transformers have shown remarkable performances in a variety of generative tasks such as image, audio, and text generation.
• Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation
  13 Dec 2021 1 repository listed
  This paper addresses the 3D point cloud reconstruction and 3D pose estimation of the human hand from a single RGB image.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.