May 10, 2024, 4:45 a.m. | Yikun Ma, Dandan Zhan, Zhi Jin

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.05768v1 Announce Type: new
Abstract: Text-driven 3D indoor scene generation holds broad applications, ranging from gaming and smart homes to AR/VR applications. Fast and high-fidelity scene generation is paramount for ensuring user-friendly experiences. However, existing methods are characterized by lengthy generation processes or necessitate the intricate manual specification of motion parameters, which introduces inconvenience for users. Furthermore, these methods often rely on narrow-field viewpoint iterative generations, compromising global consistency and overall scene quality. To address these issues, we propose FastScene, …

abstract applications arxiv cs.cv fidelity gaming homes however processes smart smart homes text type via

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