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27 Open 18 Closed
27 Open 18 Closed
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Issues list

参考视图
#45 opened Mar 16, 2024 by mumuliu66
trained_model shows no points
#44 opened Feb 24, 2024 by mumuliu66
效果没有agisoft好
#43 opened Dec 15, 2023 by yolic66
colmap2mvsnet.py not working
#41 opened Oct 17, 2023 by wvnuw
The trained model did not generate points during testing
#40 opened May 22, 2023 by WittyRH
Have you ever changed the resolution of the input image?
#39 opened Mar 22, 2023 by esh0504
RuntimeError: Legacy autograd function with non-static forward method is deprecated.
#38 opened Nov 15, 2022 by vernal0
EPE Problem of Pretrained model on Sceneflow datasets
#37 opened Aug 27, 2022 by TongWeiDP
2
About inferrence time of cascade-GwcNet
#35 opened Apr 2, 2022 by gangweiX
camera projection matrices
#33 opened Jan 10, 2022 by derrick-xwp
camera parameters from DTU dataset
#32 opened Jan 10, 2022 by derrick-xwp
Results on DTU
#31 opened Dec 5, 2021 by yfchang7
1
eval in DTU dataset
#30 opened Dec 3, 2021 by MaybeOjbk
1
Tanks and Temples reproducing problem and one way might be right?
#29 opened Nov 23, 2021 by HuanyuanZhou
2
Training Fails on PFM read and reshape
#28 opened Oct 13, 2021 by kalipoka
1
你好，请问在stereo matching的任务中，stage2的搜索范围，间隔和平面如何设置，如何实现
#27 opened Sep 26, 2021 by aihaoc
Ground truth ply for Tanks and Temple intermediate test set
#26 opened Jun 24, 2021 by 320160040
3
The training scheme for stereo matching task?
#25 opened May 18, 2021 by Deng-Y
Train on private dataset - CascadeStereo
#24 opened May 11, 2021 by sagocz
1
Unsatisfactory reconstruction effect on Tank and Temples dataset
#23 opened Mar 11, 2021 by YuhsiHu
16
Spatial resolution of output feature maps in each stage
#21 opened Dec 4, 2020 by tatsy
About parameters for fusion on Tank&&Temples
#20 opened Nov 12, 2020 by alanlyawen
1
Can you please provide a script to infer disparity maps on unseen data?
#18 opened Aug 11, 2020 by MartinHahner
How ti viualize the resut?
#16 opened Jun 26, 2020 by DJxuelei
1
larger max_w and max_h ,worse performance
#15 opened May 27, 2020 by dazaier
ProTip! Exclude everything labeled bug with -label:bug.