there’s a new post up on mspa!! there is a lot here to unpack but
RERELEASING THE HOMESTUCK BOOKS!!
VIZ IS SOMEHOW GOING TO BE INVOLVED IN THE EPILOGUE???
“SOMETHING EXISTING OUTSIDE THE CONFINES OF A WEB STORY” this just in homestucks going to be fucking real in 2018. you’re welcome
what if the epilogue and what happens with lord english and when the kids fight caliborn and all the loose ends.. what if it gets answered in an anime movie
Does PM deliver the mail to the kids? What kind of mail do they get?
I pity her daughter for the misfortune of being born to this piece of absolute shit.
okay but you should really read the full response to this though:
I am having a hard time wrapping my mind around this letter. I encourage you to reread it and to ask yourself that time-honored question, “Do I sound like a villain in a Reese Witherspoon movie?” You are, presumably, sympathetic to your own situation and are invested in making sure that you come across as reasonable and as caring as possible, and yet you have written a letter indicting yourself at every turn. This girl is “like a daughter” to you, and yet you want to shove her to the side of your other daughter’s wedding just because she walks with a limp. Your daughter’s wedding will be perfect with Katie as a full and honored member of the bridal party. A limp is not a fly in the ointment; it’s a part of Katie’s life. It is not only wrong to have asked your daughter to consider excluding her best friend over this—it is ableist, and cruel, and it speaks to a massive failure of empathy, compassion, and grace on your part. You must and should apologize to your daughter immediately, and I encourage you to profoundly reconsider the orientation of your heart.
3D face reconstruction is a fundamental Computer Vision
problem of extraordinary difficulty. Current systems often
assume the availability of multiple facial images (sometimes
from the same subject) as input, and must address a number of
methodological challenges such as establishing dense
correspondences across large facial poses, expressions, and
non-uniform illumination. In general these methods require
complex and inefficient pipelines for model building and
fitting. In this work, we propose to address many of these
limitations by training a Convolutional Neural Network (CNN)
on an appropriate dataset consisting of 2D images and 3D
facial models or scans. Our CNN works with just a single 2D
facial image, does not require accurate alignment nor
establishes dense correspondence between images, works for
arbitrary facial poses and expressions, and can be used to
reconstruct the whole 3D facial geometry (including the
non-visible parts of the face) bypassing the construction
(during training) and fitting (during testing) of a 3D
Morphable Model. We achieve this via a simple CNN architecture
that performs direct regression of a volumetric representation
of the 3D facial geometry from a single 2D image. We also
demonstrate how the related task of facial landmark
localization can be incorporated into the proposed framework
and help improve reconstruction quality, especially for the
cases of large poses and facial expressions.
There is an online demo which will let you upload an image to convert and even save as a 3D model here
I am Silver Tongue, I am an artist. I have many characters and you can check out my art in the art tag. I occasionally practice witchcraft though I don't do anything too complicated. I am girl 2 and don't know what else to put here.
Anonymous
