QT-Zhu/AA-RMVSNet
[ICCV 2021] Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network.
PythonMIT
Issues
- 1
Ground Truth improvement code
#26 opened by vkvats - 1
make sure d * interval_scale = 203.52
#25 opened by dazaier - 1
How much memory is required for training
#23 opened by zcspike - 1
the finer DTU ground truth
#24 opened by HHaojiAA - 8
Dataloader tensor size error
#22 opened by lemonsstyle - 3
Load your existing model to continue training
#21 opened by lemonsstyle - 1
Where can I download the pre-trained model
#20 opened by z905762202 - 2
- 4
test in Tank and Temple benchmark
#7 opened by lilipopololo - 0
Parameters for torch summary
#18 opened by BiaBibii - 1
About the pretrained model on BlendMVS
#17 opened by sy8008 - 1
About numdepth and interval_scale
#16 opened by Innocence4822 - 2
question about sample details?
#15 opened by DIVE128 - 2
Error when running testing
#14 opened by BiaBibii - 4
NaN value in testing
#13 opened by mazeyu - 5
The settings of fine-tune on BlendedMVS
#12 opened by VILmchen - 2
Questions about testing BlendesMVS
#11 opened by pdw211 - 6
Tanks and temples 结果
#10 opened by VILmchen - 2
Question about the survey paper
#9 opened by XYZ-qiyh - 0
tank
#8 opened by liushifu12138 - 2
- 2
Question about the training cost
#5 opened by ewrfcas - 2
- 1
- 4
Batch size and timing for single GPU setup
#3 opened by KevinCain - 2
Whether the benchmarking on Tanks and Temples use fine-tuned model on the training set of BlendedMVS.
#2 opened by MiZhenxing