Thanks for the impressive work, @jpthu17
I have a couple of questions regarding the reproducibility.
- I followed the instruction to run the evaluation for the provided
GraphMotion.ckpt, but only received the FID of 0.174. See the screenshot below for the results.
I wonder if it's possible to achieve the best results reported in the paper (FID close to 0.116)
- I am confused about the three vae training here https://github.com/TL-QZ/GraphMotion_dev/tree/main?tab=readme-ov-file#21-ready-to-train-vae-model
Do we train run the training commands one after another, with the learned weights specified in the config (TRAIN.PRETRAINED_VAE) of the next step?
How do we specify the three pre-trained vae checkpoints in the config_humanml3d.yaml for final training?
Thanks in advance for your response!
Thanks for the impressive work, @jpthu17
I have a couple of questions regarding the reproducibility.
GraphMotion.ckpt, but only received the FID of 0.174. See the screenshot below for the results.I wonder if it's possible to achieve the best results reported in the paper (FID close to 0.116)
Do we train run the training commands one after another, with the learned weights specified in the config (
TRAIN.PRETRAINED_VAE) of the next step?How do we specify the three pre-trained vae checkpoints in the
config_humanml3d.yamlfor final training?Thanks in advance for your response!