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yuedajiong avatar yuedajiong commented on August 23, 2024

除了LRM等,现很多算法网络大的环节差不多,比如Leap:

  1. 选择一个A-"立体表示"(隐式还是显示,支持3D还支持4D不,...);和对应的B-"可微渲染"。
  2. 决定在哪个空间构造损失:C-"2D/3D-Loss",和选择对应数据集。
  3. 构建网络的pipeline,基本结构:D-"ViT转换图片;Transformer/Diffusion/UNet等长长的记忆/变换网络;转换到选定的立体表示;用已知或者估计的相机参数渲染<极少算法这一步完全不用相机参数,也有,极少>;算损失完毕“。

image

from triposr.

bennyguo avatar bennyguo commented on August 23, 2024

Please use the discussion panel for this, thanks!

from triposr.

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