Casual 6-DoF: free-viewpoint panorama using a handheld 360 camera
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Abstract (arXiv)
Six degrees-of-freedom (6-DoF) video provides telepresence by enabling users to move around in the captured scene with a wide field of regard. Compared to methods requiring sophisticated camera setups, the image-based rendering method based on photogrammetry can work with images captured with any poses, which is more suitable for casual users. However, existing image-based rendering methods are based on perspective images. When used to reconstruct 6-DoF views, it often requires capturing hundreds of images, making data capture a tedious and time-consuming process. In contrast to traditional perspective images, 360deg images capture the entire surrounding view in a single shot, thus, providing a faster capturing process for 6-DoF view reconstruction. This paper presents a novel method to provide 6-DoF experiences over a wide area using an unstructured collection of 360deg panoramas captured by a conventional 360deg camera. Our method consists of 360deg data capturing, novel depth estimation to produce a high-quality spherical depth panorama, and high-fidelity free-viewpoint generation. We compared our method against state-of-the-art methods, using data captured in various environments. Our method shows better visual quality and robustness in the tested scenes.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 13 of its 50 references that are in the map. First posted on arXiv 31 Mar 2022.
Builds on
13 of 50 references.
References · 13
- 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,194
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- 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 780
- 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
- 2019DeepView: View Synthesis with Learned Gradient Descentcited by 253
- 2019Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inferencecited by 252
- 2020Free View Synthesiscited by 231
- 2020Stable View Synthesiscited by 165
- 2018Extreme View Synthesiscited by 94
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- 2019360SD-Net: 360deg Stereo Depth Estimation with Learnable Cost Volumecited by 40
Built on by
Citing papers per year: 2023: 2; 2024: 2; 2025: 1; 2026: 2.
7 papers.
- 2024PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splattingcited by 23
- 2024ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattingscited by 19
- 2023Make Your Brief Stroke Real and Stereoscopic: 3D-Aware Simplified Sketch to Portrait Generationcited by 2
- 2025You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splattingcited by 2
- 2026PackUV: Packed Gaussian UV Maps for 4D Volumetric Videocited by 2
- 2023ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstructioncited by 0
- 2026Mover360: Controllable Object Manipulation in 360deg Panoramic Imagescited by 0
- 2026Mover360: Controllable Object Manipulation in 360deg Panoramic Images24 Aug 2026
- 2026PackUV: Packed Gaussian UV Maps for 4D Volumetric Video26 Feb 2026
- 2025You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splatting12 Apr 2025
- 2024PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting16 Dec 2024
- 2024ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings28 Oct 2024
- 2023ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction4 Sep 2023
- 2023Make Your Brief Stroke Real and Stereoscopic: 3D-Aware Simplified Sketch to Portrait Generation14 Feb 2023