Skip to content

Official Implementation for paper Synthesizing Light Field Video from Monocular Video

License

Notifications You must be signed in to change notification settings

ShrisudhanG/Synthesizing-Light-Field-Video-from-Monocular-Video

Repository files navigation

Synthesizing-Light-Field-Video-from-Monocular-Video

Create a new directory named weights/ and add the downloaded weights to the weights/ directory.
Link to download weights for Reconstruction Network: link
Link to download weights for Refinement Network: link
Link to download weights for RAFT Optical Flow Network(for temporal loss calculation): link

To test the Light-Field synthesis network, run:

python run_test.py --gpu_1 <gpu_to_run_reconstruction_network> --gpu_2 <gpu_to_run_refinement_network> --lf_path <root_directory_containing_LF_sequences> --disp_path <root_directory_containing_monocular_depth> -d <dataset>

To estimate the temporal loss of Light-Field video predictions, run:

python run_temporal_loss.py --gpu_1 <gpu_to_run_reconstruction_network> --gpu_2 <gpu_to_run_refinement_network> --lf_path <root_directory_containing_LF_sequences> --disp_path <root_directory_containing_monocular_depth> -d <dataset>

About

Official Implementation for paper Synthesizing Light Field Video from Monocular Video

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published