Vector Quantized Diffusion Model for Text-to-Image Synthesis — mentioned by kastnerkyle

Thu, 12 May 2022 18:36:52 GMT

I really like the descriptions from SUNDAE (https://arxiv.org/abs/2112.06749) if you have some background about general neural net style modeling, and generally find the multinomial or binomial diffusion settings a bit simpler to think about conceptually (if a bit more difficult in practice due to the harshness of the noise). There are other papers focused on these settings too (even the origin diffusion work in the NN sphere http://proceedings.mlr.press/v37/sohl-dickstein15.html) but again - the math is at the forefront (https://arxiv.org/abs/2111.14822 , https://arxiv.org/abs/2102.05379)…

Paper and discussion history. A mention is not an endorsement.

Vector Quantized Diffusion Model for Text-to-Image Synthesis · HackerPapers discussions

Vector Quantized Diffusion Model for Text-to-Image Synthesis — mentioned by kastnerkyle