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By the computation operation of the normalization methods, the MUNIT architecture can b…
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Hello @ycjing
Thanks for your brilliant works! I am interesting in paper "Dynamic Instance Normalization for Arbitrary Style Transfer" but I don't know the detail architecture of DIN and can't find…
zy-xc updated
2 years ago
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I am looking for a way to get more consistency in the output when processing a bigger image in tiles.
The problem is that due to the memory constraints currently it's hard training and processing …
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I have a problem with instance normalization, the model outputs diverge substantially when using the tensorrt model with float16 precision.
Versions:
* Python: 3.9
* Pytorch: 1.10
* CUDA: 11.5
…
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There is still instance normalization in generator though the argument tf.constant(False), is it a bug?
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```
TiDB root@127.0.0.1:test> create table t(a int);
Query OK, 0 rows affected
Time: 0.081s
TiDB root@127.0.0.1:test> create binding for select ifnull(t.a-1,-1) from t using select ifnull(t.a-1,-1…
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Hi, do you have any plans to update your solution with Instance normalization as described here "Instance Normalization: The Missing Ingredient for Fast Stylization" https://arxiv.org/abs/1607.08022
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Thanks for the repo and all your helpful comments upstream. I was wondering if you've done any speed comparison between your code and jcjohnson's implementation with instance normalization enabled?
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it takes a lot of time...
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This test started failing a couple of days ago.
python_tests.test_normalization.test_instance_norm_multigpu
See also https://gitlab-master.nvidia.com/dl/pytorch/update-scripts/-/issues/50225