Testing Pretrained Models

[ChenYutongTHU]

Hi authors,

I have an issue of evaluating the provided pretrained models. Following https://github.com/zju3dv/animatable_nerf/issues/63, I downloaded the vanilla animatable NeRF models， aligned_aninerf_lbw_${sub}, and run the command for test, according to https://github.com/zju3dv/animatable_nerf/blob/master/test.sh

# Vanilla Animatable NeRF
python run.py --type evaluate --cfg_file configs/aligned_nerf_lbw/aligned_aninerf_lbw_${sub}.yaml exp_name aligned_aninerf_lbw_${sub} resume True
python run.py --type evaluate --cfg_file configs/aligned_nerf_lbw/aligned_aninerf_lbw_${sub}.yaml exp_name aligned_aninerf_lbw_${sub}_full resume True aninerf_animation True init_aninerf aligned_aninerf_lbw_${sub} test_novel_pose True

However, the resulted metrics are somehow different from the reported ones in NeuralBody-TPAMI.

For example, for subject 393 (Swing3), the reported novel-view scores are PSNR=27.53, SSIM=0.925, the yielded scores of the downloaded model, aligned_aninerf_lbw_393/latest.pth are PSNR=25.58, SSIM=0.9121

Is there any reason for this? (For example, the dataset was updated)