Research map / 3D vision / 3D generation
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
Check 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
- Panoptic Lifting for 3D Scene Understanding With Neural Fields (CVPR 2023 · similarity 0.89)
- Unifying Training and Inference for Panoptic Segmentation (CVPR 2020 · similarity 0.89)
- Panoptic 3D Scene Reconstruction From a Single RGB Image (NeurIPS 2021 · similarity 0.88)
- Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations (CVPR 2024 · similarity 0.88)
- Scene-Centric Unsupervised Panoptic Segmentation (CVPR 2025 · similarity 0.87)
- IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals (NeurIPS 2025 · 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.