LAPIG: Language Guided Projector Image Generation with Surface Adaptation and Stylization

Yuchen Deng;Haibin Ling;Bingyao Huang
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Abstract

We propose LAPIG, a language guided projector image generation method with surface adaptation and stylization. LAPIG consists of a projector-camera system and a target textured projection surface. LAPIG takes the user text prompt as input and aims to transform the surface style using the projector. LAPIG's key challenge is that due to the projector's physical brightness limitation and the surface texture, the viewer's perceived projection may suffer from color saturation and artifacts in both dark and bright regions, such that even with the state-of-the-art projector compensation techniques, the viewer may see clear surface texture-related artifacts. Therefore, how to generate a projector image that follows the user's instruction while also displaying minimum surface artifacts is an open problem. To address this issue, we propose projection surface adaptation (PSA) that can generate compensable surface stylization. We first train two networks to simulate the projector compensation and project-and-capture processes, this allows us to find a satisfactory projector image without real project-and-capture and utilize gradient descent for fast convergence. Then, we design content and saturation losses to guide the projector image generation, such that the generated image shows no clearly perceivable artifacts when projected. Finally, the generated image is projected for visually pleasing surface style morphing effects. The source code and more results are available on the project page: https://Yu-chen-Deng.github.io/LAPIG/.
语言引导投影仪图像生成与表面适应和风格化。
我们提出了一种基于表面自适应和程式化的语言引导投影图像生成方法LAPIG。LAPIG由投影-摄像系统和目标纹理投影面组成。LAPIG以用户文本提示为输入,旨在使用投影仪转换表面样式。LAPIG的主要挑战是,由于投影机的物理亮度限制和表面纹理,观看者感知到的投影可能会受到色彩饱和度和暗区和亮区伪影的影响,因此即使使用最先进的投影机补偿技术,观看者也可能看到清晰的表面纹理相关伪影。因此,如何生成一个投影仪图像,遵循用户的指令,同时也显示最小的表面伪影是一个开放的问题。为了解决这个问题,我们提出了可以产生可补偿表面风格化的投影表面适应(PSA)。我们首先训练两个网络来模拟投影补偿和投影捕获过程,这使我们能够在没有实际投影捕获的情况下找到令人满意的投影图像,并利用梯度下降进行快速收敛。然后,我们设计了内容和饱和度损失来指导投影仪图像的生成,这样生成的图像在投影时就不会显示出明显的可感知的伪影。最后,生成的图像进行投影,以获得视觉上令人愉悦的表面样式变形效果。源代码和更多结果可在项目页面上获得:https://Yu-chen-Deng.github.io/LAPIG/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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