Research map / Point clouds / Shape and surface completion
Guiding Point Cloud Denoising with Learned Structural Priors
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- PQDT: Pseudo-Query Dual Transformer for Robust Point Cloud Restoration (CVPR 2026 · similarity 0.90)
- You Should Learn to Stop Denoising on Point Clouds in Advance (AAAI 2025 · similarity 0.89)
- 3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering (AAAI 2025 · similarity 0.88)
- U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching (NeurIPS 2025 · similarity 0.88)
- Point Cloud Pre-training with Diffusion Models (CVPR 2024 · similarity 0.87)
- StraightPCF: Straight Point Cloud Filtering (CVPR 2024 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.