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New methods advance rapid 3D indoor scene reconstruction from panoramic images · 4 sources tracked

By PulseAugur Editorial · [4 sources] ·

Researchers have introduced two new methods for 3D indoor scene reconstruction from panoramic images. Argus, trained on the new Realsee3D dataset, utilizes a learned covisibility module to accurately anchor the metric world frame and achieves state-of-the-art performance in pose, depth, and point cloud reconstruction. FastPano3D offers a rapid, end-to-end framework that generates 3D Gaussian representations from a single panoramic image in seconds, outperforming previous methods in inference speed and parameter efficiency while maintaining comparable rendering quality. AI

IMPACT These advancements could accelerate the development of real-time 3D scene understanding and virtual environment creation.

RANK_REASON Two academic papers published on arXiv detailing new methods for 3D reconstruction.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

New methods advance rapid 3D indoor scene reconstruction from panoramic images · 4 sources tracked

COVERAGE [4]

  1. arXiv cs.CV TIER_1 English(EN) · Xi Li, Linyuan Li, Yan Wu, Tong Rao, Kai Zhang, Xinchen Hui, Cihui Pan ·

    Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes

    arXiv:2606.30047v1 Announce Type: new Abstract: Metric feed-forward 3D reconstruction for panoramic data remains under-explored due to the lack of large-scale panoramic RGB-D training data. We present Realsee3D, a hybrid dataset of 10K indoor scenes (1K real, 9K synthetic) with 2…

  2. arXiv cs.CV TIER_1 English(EN) · Jianqiang Li, Liumei Zhang, Wenjia Guo, Tianlong Feng, Yongzhi Liao, Di Lu, Hanchi Ren, Jingjing Deng ·

    FastPano3D: Feed-Forward Indoor Panoramic 3D Reconstruction from a Single Image

    arXiv:2606.30352v1 Announce Type: new Abstract: Recent advances in 3D scene reconstruction have highlighted the intricate trade-offs among rendering quality, inference efficiency, and data dependency. To address the challenge of rapidly reconstructing detailed 3D indoor scenes fr…

  3. arXiv cs.CV TIER_1 English(EN) · Jingjing Deng ·

    FastPano3D: Feed-Forward Indoor Panoramic 3D Reconstruction from a Single Image

    Recent advances in 3D scene reconstruction have highlighted the intricate trade-offs among rendering quality, inference efficiency, and data dependency. To address the challenge of rapidly reconstructing detailed 3D indoor scenes from minimal input, we introduce FastPano3D, an en…

  4. arXiv cs.CV TIER_1 English(EN) · Cihui Pan ·

    Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes

    Metric feed-forward 3D reconstruction for panoramic data remains under-explored due to the lack of large-scale panoramic RGB-D training data. We present Realsee3D, a hybrid dataset of 10K indoor scenes (1K real, 9K synthetic) with 299K panoramic viewpoints and precise metric anno…

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