The quantitative results of reproduced generated samples and real samples are different with the LVDM official paper.

[HanEol-Lee77]

As instructed in LVDM official code, we downloaded and used the pretrained weights, then extracted the generated npz files as detailed in the README.md available at the official link (https://github.com/YingqingHe/LVDM). Following this procedure, we conducted evaluations and obtained the following results. (For the real samples, we configured 2048 training splits randomly, following the protocol of StyleGAN-V.)

However, for the SKY dataset, the FVD score was 318.66, and the KVD score was 21.89. Regarding the taichi dataset, the FVD score was 285.76, and the KVD score was 31.62. (In LVDM paper, for the SKY dataset, the FVD score was 95.2 ± 2.3, and the KVD score was 3.9 ± 0.1. Regarding the taichi dataset, the FVD score was 99.0 ± 2.6, and the KVD score was 15.3 ± 0.9)

Could you provide an explanation for any difficulties encountered in reproducing these results? Additionally, could you share the configuration details for the 2048 real samples you used?

[eddieback]

Meet the same problem. Have you solved it?