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English(EN) SHERPA: Seam-aware Harmonized ERP Adaptation for Open-Domain 360$^\circ$ Panorama Generation

SHERPA框架使图像模型适应360度全景图

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了SHERPA，一个旨在适应大规模文本到图像模型以生成360度全景图的新框架。现有模型在等距柱状投影（ERP）全景图的独特拓扑结构方面存在困难，导致错位，尤其是在接缝和极地区域。SHERPA通过引入频率选择RoPE、圆形编码和双路径训练方案来解决这一问题，从而能够生成写实和风格化的全景场景。 AI

影响 使文本到图像模型能够生成更准确和风格化的360度全景图。

排序理由 该集群包含一篇详细介绍适应现有模型的新框架的研究论文。

在 arXiv cs.CV 阅读 →

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SHERPA框架使图像模型适应360度全景图

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该集群包含一篇详细介绍适应现有模型的新框架的研究论文。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Jungwoon Kang, Jaehun Kim, Yiwon Yu, Hyungyum Jang, Sanghoon Lee, Jongyoo Kim ·

    SHERPA：面向开放域360度全景图生成的缝隙感知协调ERP适应性

    arXiv:2606.12213v1 Announce Type: new Abstract: Panoramic imagery is increasingly used in world-generation, games, and simulation, where users may need not only photorealistic scenes but also stylized and non-photorealistic environments. Large-scale text-to-image diffusion and fl…

  2. arXiv cs.CV TIER_1 English(EN) · Jongyoo Kim ·

    SHERPA：面向开放域360度全景图生成的缝隙感知协调ERP适应性

    Panoramic imagery is increasingly used in world-generation, games, and simulation, where users may need not only photorealistic scenes but also stylized and non-photorealistic environments. Large-scale text-to-image diffusion and flow models provide broad style and semantic prior…

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