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[NeurIPS 2023] Implementation of "Template-free Articulated Neural Point Clouds for Reposable View"

Home Page: http://lukas.uzolas.com/Articulated-Point-NeRF/

Python 87.67% C++ 3.28% Cuda 9.05%
3d-reconstruction articulation dynamic kinematics nerf neural-radiance-fields point-cloud dnerf pose-estimation reposing

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articulated-point-nerf's Issues

Confused about reproducible results

Hello, thank you for your work. I ran the command you wrote in the readme about the jumpingjacks data set, but the results were terrible. However, I did not encounter any obstacles during the entire run, so I have no idea what caused the badness. very clear. I ran python run.py --config configs/nerf/jumpingjacks.py --i_print 1000 --render_video --render_pcd,
python run.py --config configs/nerf/jumpingjacks.py --i_print 1000 --visualise_canonical in sequence --render_pcd --render_only, python run.py --config configs/nerf/jumpingjacks.py --i_print 1000 --visualise_canonical --render_pcd --render_only --degree_threshold 30,
python run.py --config configs/nerf/jumpingjacks.py --i_print 1000 --repose_pcd --render_only --render_pcd --degree_threshold 30.
Below are some results displayed( image in render_video_temporalpoints_last_time and canonical.pcd in pcds I can provide more if you need it)
image
image

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