poly-diffuse
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Code for "PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models", NeurIPS 2023
I have get the test result based on hd mapping branch with nuscenes mini dataset. But I found GT and input from init maptr seems not a same time reviewing...
Hello, I wan't to train the poly-diffuse with my own dataset, but my dataset is not suitable for scaling to 256*256, how can I change the poly-diffuse's code to support...
Hello, Thanks for sharing the work. I want to run the inference pipeline and have images of the point cloud from the top view. How to create a density map...
File "train.py", line 191, in main() File "/root/anaconda3/envs/py3-mink/lib/python3.7/site-packages/click/core.py", line 1130, in __call__ return self.main(*args, **kwargs) File "/root/anaconda3/envs/py3-mink/lib/python3.7/site-packages/click/core.py", line 1055, in main rv = self.invoke(ctx) File "/root/anaconda3/envs/py3-mink/lib/python3.7/site-packages/click/core.py", line 1404, in invoke...
 大佬您论文中说的standard dm的实现,有几个具体细节想请教您,因为想复线一下: 1.您是在room上做的没在maptr上实验哈 2.我理解你说的就是训练时 standard dm的实现:相当于改变两个数值,sigma_guide = 1.0,mu_guide = 0.0,然后想请教下损失函数是没有变化吗,还是每个gt加噪的实例预测X0然后和原本这个gt的坐标算loss,因为GS-DM没有训练分类损失, standard dm也没有这部分吗 3.推理时的standard dm,按论文中说的是从标准高斯噪声采样,那么这是坐标,请问类别信息会预测吗,具体是怎么得到类别预测的呢 超级感谢大佬答疑解惑
I saw that the dataset in your github is 36GB, but after I compressed and decompressed it from the corresponding address, it was only 11GB. After putting it into the...
是否支持其他地址的下载?
在训练denoise部分的时候,MapTR的forward的输入有timestep,在单独训练MapTR的时候,如何设置timestep的呢?
训练模型
我想利用自己的模型产生的平面图重建结果对polydiffuse进行训练,应该如何处理我产出的结果,数据集仍然是struct3d,或者你可以告诉我数据文件夹的文件的含义吗?万分感谢!