“DreamCraft: Interactive 3D Scene Creation From Editable Panorama in Virtual Reality” by Tsai and Pan – ACM SIGGRAPH HISTORY ARCHIVES

“DreamCraft: Interactive 3D Scene Creation From Editable Panorama in Virtual Reality” by Tsai and Pan

  • 2025 Posters_Tsai_DreamCraft

Conference:


Type(s):


Title:

    DreamCraft: Interactive 3D Scene Creation From Editable Panorama in Virtual Reality

Session/Category Title:

    Augmented & Virtual Reality

Presenter(s)/Author(s):



Abstract:


    We presents DreamCraft, a VR system that demonstrates the potential of combining panorama with 3D generation techniques to provide users with an intuitive and feature-rich platform for creating interactive 3D scenes. Our pilot study shows that even users with no prior experience can effectively use the system.

References:


    [1] Mengyang Feng, Jinlin Liu, Miaomiao Cui, and Xuansong Xie. 2023. Diffusion360: Seamless 360 degree panoramic image generation based on diffusion models. arXiv preprint arXiv:https://arXiv.org/abs/2311.13141 (2023).
    [2] Steam Community. 2025. MetaXR on Steam. https://steamcommunity.com/app/569180/. Accessed: 2025-04-23.
    [3] Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel. 2023. Plug-and-play diffusion features for text-driven image-to-image translation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 1921–1930.
    [4] Jianfeng Xiang, Zelong Lv, Sicheng Xu, Yu Deng, Ruicheng Wang, Bowen Zhang, Dong Chen, Xin Tong, and Jiaolong Yang. 2025. Structured 3d latents for scalable and versatile 3d generation. In Proceedings of the Computer Vision and Pattern Recognition Conference. 21469–21480.
    [5] Shuai Yang, Jing Tan, Mengchen Zhang, Tong Wu, Yixuan Li, Gordon Wetzstein, Ziwei Liu, and Dahua Lin. 2024. Layerpano3d: Layered 3d panorama for hyper-immersive scene generation. arXiv preprint arXiv:https://arXiv.org/abs/2408.13252 (2024).
    [6] Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, and Zhibo Chen. 2023. Inpaint anything: Segment anything meets image inpainting. arXiv preprint arXiv:https://arXiv.org/abs/2304.06790 (2023).


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