3 ms·
Similar to how the early GANs for generating faces were low res. I would expect follow up work to get much better fairly quickly.
by swframe2 6y ago
Similar to how the early GANs for generating faces were low res. I would expect follow up work to get much better fairly quickly.
- coronadisaster 6y agoYou can't create an accurate 3D model from what you can't see. It can be high resolution though...
- dogma1138 6y agoIt’s not about being “accurate” as in representing exactly what it can’t see but rather be “authentic”, since you don’t care about things like patterns or logos clothes aren’t that hard to figure out and so are body shapes. Backpacks, and other attachments that are on the back or occluded ofc can’t be predicted or fitted with-in the model to represent their real life counterparts well not unless you train the model on every possible backpack. That said training this model on people’s photographs and their 3D scans and then possibly on a dataset of clothes and accessories from big brands might actually allow you to much more accurately predict the unseen parts of the image by not only filling the gaps based on predictions but by actually specifically matching the items of clothing and accessories to draw additional information that way. Most fashion brands already have detailed images of their products from multiple angles and even have 3D views of many items. Combine that dataset with this model and you’ll probably be able to increase the accuracy of these models considerably.