People are hyped up at openai #sora. Rumor has it that synthetic data is the key to its success.
Fun fact: ALL anime are synthesized data becase they never "really" existed. People have trained neural network using them for a decade.
A question that has puzzled me since the days of masked language models. GPTs that can detour insertions to the end of sequence, but is there any LM which predicts the insertion position of evey new token (or even deletion)? Maybe something like diffusion+autoregressive LM?
@dragonmeteor I think the method is heavily based on eg3d from nvlabs. If you fit it with your own datasets, I think it will work similarly.
Also, I wonder how did they get the CoNR dataset. I didn't even have a chance to release the datasets before I was kicked out LoL.
A new Live3Dv2 demo turning AI generated character design sheets (4pics) into a continuous animation video.
This may also run in real-time is you have a powerful GPU (as opposed to stable diffusion based methods which requires multiple steps)
https://t.co/sgKpnng5GP
@8co28 Wow! That's awesome!!
Can this technology also be used to fix other flickering stable diffusion videos by simply giving it character sheets instead of LoRA finetuning?
Also, can we use arbitrary MMD motion file and untextured models as inputs? This may save the texturing time.