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guanjunwu avatar guanjunwu commented on August 15, 2024

你好,这的确是一种简化的假设,在deform之后的Gaussian作densification按理说是更合理的,但是我们很难将deform之后的Gaussian和canonical Gaussian对应起来(具体可以参考Dynamic Gaussian Mesh,额外训了一个网络,但是这样做会增加计算开销。)

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cdfan0627 avatar cdfan0627 commented on August 15, 2024

非常感謝您的解答,想再請問一下你們有試過flow supervision或depth surpervison嗎? 因為我目測試起來發現效果並沒有改善,所以我正在想會不會是densification的原因。

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guanjunwu avatar guanjunwu commented on August 15, 2024

我们都试过,感觉flow supervision一次好像也只渲染timestamp相邻的2-3张图,所以不是很有用。但是depth在某些单目场景是有成效的。主要还是deformationfield有时候会陷入local minima

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vamWu avatar vamWu commented on August 15, 2024

非常感謝您的解答,想再請問一下你們有試過flow supervision或depth surpervison嗎? 因為我目測試起來發現效果並沒有改善,所以我正在想會不會是densification的原因。
你好,请问你提到的flow supervision 是指使用optical flow来做监督吗? 我最近也关注到了相关的内容,试图加入一个类似的flowloss来改善reconstruction的效果,但是如您所说似乎提升的很微弱?

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cdfan0627 avatar cdfan0627 commented on August 15, 2024

對的,我是用optical flow来做监督,我目前是效果不只沒上升反而有下降

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