nerf_real_360

Nerf Real 360是一个用于评估NERF方法有效性的合成数据集。该数据集包括由Blender软件精细建模的复杂非朗伯场景，如椅子、鼓、无花果树、热狗、乐高、材料、麦克风和船只等。这些场景的图片是通过Blender的环形路径追踪插件采集的，其中有6个场景是从上半球方向环绕拍摄的，另外2个场景是从整个球形的其他方向采集的。每个场景选取了100张图片用于神经网络算法的训练，其中13张用于测试。该数据集中的所有图片的分辨率为800×800。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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