agrimgupta92 / sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
MIT License
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According to the implementation details of the paper, the displacement error of the trained model is very large. #45

Closed oyjGithub closed 5 years ago

oyjGithub commented 5 years ago

Hello, excuse me. I trained the model directly before without modifying the parameters. There is a big gap between the running results and the results in your paper. Then I revised the corresponding parameters according to the implementation details in your paper. Because of the poor performance of my computer, I revised the batch_size to 32. As in other papers, the loss value does not converge during the training process, and when testing. The difference between the findings and those in your paper is particularly large. I'd like to ask where I didn't get it right.@agrimgupta92