ShapeNet

ShapeNet is a dataset that contains a diverse collection of 3D shapes used to evaluate the performance of generative models in producing visually plausible and geometrically symmetric objects.

Papers using ShapeNet (8)

OctFusion: Octree-based Diffusion Models for 3D Shape Generation2024 · 1 citesSymmetrization of 3D Generative Models2025DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds2024RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation2022 · 14 citesFlow-based GAN for 3D Point Cloud Generation from a Single Image2022 · 2 cites3D Neural Field Generation using Triplane Diffusion2022 · 2 citesToward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder2023 · 1 citesControl3Diff: Learning Controllable 3D Diffusion Models from Single-view Images2023