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DiverseDepth predicts depth in a broader range of scenes, with more detail, than most depth models do in their best dataset. So they made a harder dataset.
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
abs: https://t.co/wvy4FOzNsR
#Inktober SciartNow day 22: Kidney. Geometry adapted from @KristenMBrowne 's NLM3D dataset. Another bonus colour version! #sciartink rendered in #cinema4d
@sciartnow @AMIdotorg @MScBMC @UofT @UTM
Measure change to your #properties with our Canadian building permit #dataset.
Identify which #properties are changing, in what way and at what cost. Learn more about building permit #data in our recent blog https://t.co/KLDiNhM2En #Underwriters #Insurers
Measure change to your #properties with our Canadian building permit #dataset.
Identify which #properties are changing, in what way and at what cost. Learn more about building permit #data in our recent blog https://t.co/KLDiNhurMP #Underwriters #Insurers
Measure change to your #properties with our Canadian building permit #dataset.
Identify which #properties are changing, in what way and at what cost. Learn more about building permit #data in our recent blog https://t.co/mGxZZm2xre
@ycsong21 @sarahlovesdata @jonni_walker @tableaupublic You are right. My plan is to add also some context on the text part, but no include any additional dataset... even if it is difficult to restrain myself :)
A couple pix2pix results using the alcohol ink dataset. It doesn’t work great with more pictorial inputs (looks like style transfer which are meh)
[REF] ERROR’s dataset is incomplete, so he consumes others. Soon it will be a Guilmon dataset.