Comments (4)
Hi, the t1 and t2 here are Temporal Relevance coefficients.
Line 14 in 5d4d753
Please refer to the following section of the paper.
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Hi @feinanshan
Oh, my bad~ thanks a lot for the quick and kind explanation :)
By the way, If it is possible and when you are free, let's have a quick discussion here about the splatting task via M2M:
For splatting, let's use I_0
and forward optical flow flow_forward
to warp I_0
to I_1
.
Hence, the fltTime
t0 and t1 should be set to t0=1
and t1=1-t0=0
, right?
Based on this, now the temporal relevance coefficientst1_temporal = t1 = 0
and t2_temporal = t0 = 1
,
so for the flowing line:
Line 17 in 5d4d753
The inputs for softsplat_func.apply(tenIn, tenFlow)
now are:
- tenIn:
torch.cat([tenIn * 0 * (tenMetric).clip(-20.0, 20.0).exp(), 0 * (tenMetric).clip(-20, 20).exp()], 1)
- tenFlow:
flow_forward
Now the tenIn
is the point that I am not totally clear about. So if I want to do splatting with M2M, is there any suggestion on how to solve this problem?
Bests,
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Hi, yes in this extreme case of t0=1, tenIn (from I_0 to t0) will be zero which means no information will be warped from I_0.
Yet note that we are interpolating with two frames, hence at the same time, the tenIn (from I_1 to t0) will be equivalent to I_1 itself.
from m2m_vfi.
Hi, yes in this extreme case of t0=1, tenIn (from I_0 to t0) will be zero which means no information will be warped from I_0. Yet note that we are interpolating with two frames, hence at the same time, the tenIn (from I_1 to t0) will be equivalent to I_1 itself.
Got it!
thanks a lot! :)
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