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Kai-46 / IRON

Inverse rendering by optimizing neural SDF and materials from photometric images
BSD 2-Clause "Simplified" License
299 stars 24 forks source link

Poor results in Superman #23

Open Alex776655 opened 1 year ago

Alex776655 commented 1 year ago

logim_49500

Hi, there must be something wrong on my side.

Could you help me?

Alex776655 commented 1 year ago

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:

logim_50000

Alex776655 commented 1 year ago

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