PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation
Zidong Cao, Jinjing Zhu, Weiming Zhang, Hao Ai, Haotian Bai, Hengshuang Zhao, Lin Wang
Abstract
Rotation 20°10°( b) (a) Figure 1. (a) Our PanDA exhibits impressive panoramic depth estimation results in open-world scenarios. The resolution of presented panoramas is 1008×2016. (b) Top row: Spherical images with different zoom levels, and the corresponding depth predictions with perspective projection. Middle row: ERP image. Bottom row: Spherical images with different vertical rotation angles, and the corresponding depth predictions with perspective projection. Our PanDA is robust to spherical transformations and predicts fine-grained depths.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers10
- Depth Any Panoramas: A Foundation Model for Panoramic Depth EstimationXin Lin, Meixi Song, Dizhe Zhang, Wenxuan Lu et al.CVPR 2026 · 27 citations
- DA2: Depth Anything in Any DirectionHaodong Li, Wangguandong Zheng, Jing He, Yuhao Liu et al.ICLR 2026 · 23 citations
- Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and GenerationKang Liao, Size Wu, Zhonghua Wu, Linyi Jin et al.ICLR 2026 · 19 citations
- PanoVGGT: Feed-Forward 3D Reconstruction from Panoramic ImageryYijing Guo, Mengjun Chao, Luo Wang, Tianyang Zhao et al.CVPR 2026 · 11 citations
- VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth EstimationJiayi Yuan, Haobo Jiang, De Wen Soh, Na ZhaoCVPR 2026 · 6 citations
Builds on26
- Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao et al.ICCV 2023 · 13,211 citations
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- SegFormer: Simple and Efficient Design for Semantic Segmentation with TransformersEnze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar et al.NeurIPS 2021 · 9,661 citations
- Depth Anything V2Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao et al.NeurIPS 2024 · 2,305 citations
- Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataLihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu et al.CVPR 2024 · 847 citations
Related papers
- PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal AdaptationChuanxin Song, Peixi PengICML 2026
- SO(3)-Equivariant ViT-Adapter for Data-Efficient Zero-Shot Sim-to-Real Indoor Panoramic Depth EstimationZiyan He, Qiudan Zhang, Lin Ma, Xu WangCVPR 2026
- EDM: Equirectangular Projection-Oriented Dense Kernelized Feature MatchingDongki Jung, Jaehoon Choi, Yonghan Lee, Somi Jeong et al.CVPR 2025
- MTPano: Multi-Task Panoramic Scene Understanding via Label-Free Integration of Dense Prediction PriorsJingdong Zhang, Xiaohang Zhan, Lingzhi Zhang, Yizhou Wang et al.SIGGRAPH 2026
- DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware DiffusionWeicai Ye, Chenhao Ji, Zheng Chen, Junyao Gao et al.NeurIPS 2024 · 45 citations
