Point Cloud Generation
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Benchmarks
Most implemented
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
Diffusion Probabilistic Models for 3D Point Cloud Generation
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Papers
Depth-Semantic Alignment and Affinity-Guided Fusion for Structured Radar Point Cloud Generation
Point clouds are an important carrier of three-dimensional spatial information, and their quality directly affects the performance of downstream perception tasks such as object detection and tracking. However, millimeter…
Point Cloud GenerationObject DetectionPoint Clouds3D Reconstruction Techniques in the Manufacturing Domain: Applications, Research Opportunities and Use Cases
This comprehensive review examines the evolution and the current state of the art in three-dimensional (3D) reconstruction techniques in manufacturing applications. The analysis covers both traditional approaches and eme…
Point Cloud Generation3D ReconstructionPoint-MF: One-step Point Cloud Generation from a Single Image via Mean Flows
Single-image point cloud reconstruction must infer complete 3D geometry, including occluded parts, from a single RGB image. While diffusion-based reconstructors achieve high accuracy, they typically require many denoisin…
Point Cloud GenerationPoint CloudsFUSE-Flow: Scalable Real-Time Multi-View Point Cloud Reconstruction Using Confidence
Real-time multi-view point cloud reconstruction is a core problem in 3D vision and immersive perception, with wide applications in VR, AR, robotic navigation, digital twins, and computer interaction. Despite advances in …
Point Cloud GenerationPoint CloudsQuartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance
We introduce the Quartet of Diffusions, a structure-aware point cloud generation framework that explicitly models part composition and symmetry. Unlike prior methods that treat shape generation as a holistic process or o…
Point Cloud GenerationClass-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation
Most 3D scene generation methods are limited to only generating object bounding box parameters while newer diffusion methods also generate class labels and latent features. Using object size or latent feature, they then …
Point Cloud GenerationScene Generation