HyperHuman
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[ICLR 2024] Github Repo for "HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion"
Thank you for your excellent work. May I ask if the skeleton input to the UNet also goes through the VaeEncoder? Is the operation the same as with the image?...
Thanks for your work, I am wondering if the MSCOCO 2014 Human Validation in the paper will be released soon?
Thank you for your excellent work. I have a question, since openpose-style skeleton refers to a skeleton with hand joints, a neck joint that connects nose joint, left and right...
 as you say, you use different conv to convert different controls to same input size 128*128 and elementsize add them all to an encoder of SDXL, so is it...
Will you opensource code?
Can we just use text as input to enforce the joint learning of image appearance, spatial relationship, and geometry in a unified network?
I wonder if the model will be released recently.
Will be the training data released, thanks!