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AGORA: Avatars in Geography Optimized for Regression Analysis

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发表于 2021-12-24 14:07 | 显示全部楼层 |阅读模式
AGORA: Avatars in Geography Optimized for Regression Analysis
abstract


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A synthetic dataset with high realism and highly accurate ground truth, use 4240 commercially-available, high-quality, textured human scans in diverse poses and natural clothing, including 257 scans of children.

    We create reference 3D poses and body shapes by fitting the SMPL-X body model (with face and hands) to the 3D scans, taking into account clothing, create around 14K training and 3K test images by rendering between 5 and 15 people per image using either image-based lighting or rendered 3D environments, taking care to make the images physically plausible and photoreal.

    Extend smpl-x model better to capture children shape
other dataset


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Method: Obtaining reference data


purchased high-quality textured 3D scans from:

    3DPeople

    AXYZ

    Human Alloy

    Renderpeople

选取了4240个扫描模型,包括350个独立的个体,高精度的3d扫描模型包括顶点和表面,需要将一个smpl-x模型拟合到3D扫描模型上,Fitting a SMPL-X mesh M to a scan S amounts to solving for the optimal parameters (θ, β, ψ) ;如何考虑衣服的影响:同一个人的shape参数一样
progress


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使用虚拟的相机参数,渲染得到多视角的图像,使用 SMPLify-X fitting 算法得到初始化的smpl-x模型参数,为了进一步将两个3d模型进行对齐,采用:use the idea of fitting body shape under clothing:
    The naked truth: Estimating body shape under clothingDetailed, accurate, human shape estimation from clothed 3D scan sequences

代价函数:


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children fitting


购买的扫描模型中包含了257个小孩的3d模型,采用上述过程产生的结果不好,由于smpl-x的表达方式对于小孩并不是很鲁棒:


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为了更好的拟合小孩,所以加入了 全局参数,然后一起进行优化,但是结果还是不是很自然,we take the mean infant body template from SMIL [20] and convert it to SMPL-X topology, TC ,将婴儿模型SMIL转换为SMPL-x的拓扑结构,进而让两者进行一个结合来优化。
AGORA Dataset


4240 scans spanning more than 350 unique subjects, all paired with SMPL-X fits
Number_scansbodyhandFace
3161
1079XX
4240
dataset split:

NametrainvalidationTest
Num_scans29302591052
Num_images1452912253387
Image-render


    Camera: focal lengths 18mm, 28mm and 50mm

    render-engine:unreal-engine

    Env: a single Windows 10 PC with NVIDIA RTX 2080 graphics hardware

    photorealistic:

      image-based lighting using freely available HDR backgrounds

      free and commercial 3D environments obtained from the Unreal Marketplace

      对于一些坐的扫描模型添加椅子来增加真实感

      other tricks.

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