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bcmi / GracoNet-Object-Placement

Official code for ECCV2022 paper: Learning Object Placement via Dual-path Graph Completion
MIT License
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Not able to reproduce results #10

Closed mattposka closed 1 year ago

mattposka commented 1 year ago

The graconet model does not converge when training on the OPA dataset. I am following the training directions described, but I am not able to reproduce the baseline results. After one epoch of training the FID is ~41 and after 11 epochs of training the FID is ~71.

Both Placenet and Terse seem to be working as expected, but the graconet model doesn't converge. Is anyone else able to reproduce the baseline results? Are there different parameters I should use, or is there something else wrong with the code? Thanks!

ustcnewly commented 1 year ago

The adversarial loss may increase the training difficulty, you can try replacing adversarial loss with classification loss (using fixed SOPA as binary classification model). Additionally, I recommend FOPA https://github.com/bcmi/FOPA-Fast-Object-Placement-Assessment, which is more stable and effective.