Ronghuan Wu
Ronghuan Wu
After reading the [code](https://github.com/lucidrains/vector-quantize-pytorch/blob/146810e271f435daa3834edd9473be050bc04647/vector_quantize_pytorch/vector_quantize_pytorch.py#L542), I notice the commitment loss is calculated using MSE, which measures the difference between `quantize` and `x`. It seems reasonable that MSE will grow larger, since...
Oh your explain helps deepen my understanding about VQVAE. Currently I have the same problem, namely the infinite commitment loss. I tried to set the `commit_weight` to a small number...
`RuntimeError: stack expects each tensor to be equal size, but ...` This problem is due to the fact that, the number of command of a path in your svg file,...
> Agree with previous statement, but don't understand the operation to drop Z. Z command means moving the brush to the beginning of the path so that make the path...
After reading codes, I also don't know why there is another new code book. Do you have any idea now?
好像 nerf 版本的 24G 不够用
@bluestyle97 可以了 :)
Hi. If you want to use pretrained language model, you are actually using the **text embedding** of that model. 1. At first, you can load and save the text embedding...
I think stage 2 is focusing on super-resolution. Without strong generation ability.
Hi, have you implemented mesh-based deformation?