diffusion-point-cloud
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:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Hi Shitong, A great job! May I ask why GPU mem double after some iterations? E.g., from 8G to 14G. Thanks,
Hi Zhitong, thanks for releasing the code! I am wondering how many training iterations is needed for different model/data to reproduce the results in the paper? Best,
Hi, I'd like to know what GPUs you used and how long did it take to train on each dataset.
Hello, Thanks for your work. May I ask, have you met this problem in your training with train_gen.py [lgan_mmd-CD] nan [lgan_cov-CD] 0.24250001 [lgan_mmd_smp-CD] nan Traceback (most recent call last): File...
Hello, thanks for your great work! I am a beginner in generative models, and I want to understand if, in your approach, adding latent code as a condition means that...
Thanks for the fantastic work! However, I trained the Autoencoder with 20k iteration on the Shapenet with all classes, but the performance is not satisfactory. Is there any specific settings...
我想使用自己数据集训练一个模型,在制作数据集时需要什么特别的操作吗,比如对自己数据集的点数进行限制
关于训练次数
想要问一下生成器ITer到多少次会停止啊
感谢您的贡献,这是一项伟大的工作!您好,我是一名新研究员,我想请教一下您论文中的对比实验,如 AtlasNet、PointFlow、ShapeGF 等,您是直接运行它们的源代码,还是根据自己的架构将它们的网络架构运行到encoder文件中? Thank you for your contribution, this is great work! Hello, I am a new researcher, I would like to ask you about the comparison experiments in your...
I have a question and would like your reply, why your numstep is 100 instead of 1000, but your generated result is still good