Poor results in Superman

[Alex776655]

Hi, there must be something wrong on my side.

Could you help me?

[Alex776655]

Dear authors,

I am still trying to reproduce the results.

My environment is as follows:

Package Version

---

absl-py 1.2.0
asttokens 2.0.8
beautifulsoup4 4.11.1
brotlipy 0.7.0
cachetools 5.2.0
certifi 2022.6.15
cffi 1.15.1
charset-normalizer 2.1.0
colorama 0.4.5
ConfigArgParse 1.5.3
cryptography 39.0.2
executing 0.10.0
filelock 3.8.0
gdown 4.5.1
google-auth 2.10.0
google-auth-oauthlib 0.4.6
grpcio 1.47.0
icecream 2.1.3
idna 3.3
igl 2.2.1
imageio 2.21.1
imageio-ffmpeg 0.4.7
importlib-metadata 4.12.0
kornia 0.6.6
Markdown 3.4.1
MarkupSafe 2.1.1
mkl-fft 1.3.1
mkl-random 1.2.2
mkl-service 2.4.0
networkx 3.0
numpy 1.23.5
oauthlib 3.2.0
opencv-python 4.6.0.66
packaging 23.0
Pillow 9.2.0
pip 23.0.1
platformdirs 3.1.1
pooch 1.7.0
protobuf 3.19.4
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycparser 2.21
Pygments 2.13.0
pyhocon 0.3.59
PyMCubes 0.1.2
pyOpenSSL 23.0.0
pyparsing 2.4.7
PySocks 1.7.1
PyWavelets 1.3.0
requests 2.28.1
requests-oauthlib 1.3.1
rsa 4.9
scikit-image 0.19.3
scipy 1.10.1
setuptools 61.2.0
six 1.16.0
soupsieve 2.3.2.post1
tensorboard 2.10.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tifffile 2022.8.12
torch 1.13.1
torchaudio 0.13.1
torchvision 0.14.1
tqdm 4.64.0
trimesh 3.13.4
typing_extensions 4.3.0
urllib3 1.26.11
Werkzeug 2.2.2
wheel 0.37.1
zipp 3.8.1

My result is:

[Alex776655]

I have recreated a new env with the same torch and cuda in a previous issue, but the result is still the same:

torch 1.11.0
torchaudio 0.11.0
torchvision 0.12.0