JingyunLiang / RVRT

Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
https://arxiv.org/abs/2206.02146
Other
354 stars 33 forks source link

video denoising: Failure in latter patches #27

Open LokiXun opened 9 months ago

LokiXun commented 9 months ago

Hi, I am using pretrained model for video denoising. Checking the code, the model split the frames into overlapped patches to process. However, for the result, the first few patches seems to have a great result, but for the latter one it seems that the noise are not been removed and having visible edges between different patches.

Here is the 2 frames of processed results: image

here is my command, I did not modify any code in main_test_rvrt.py. Is that the way I test was wrong?

python main_test_rvrt.py --task 006_RVRT_videodenoising_DAVIS_16frames \
    --sigma 1 \
    --folder_lq my_video_path \
    --folder_gt my_video_path  \
    --tile 0 256 256 --tile_overlap 2 20 20 \
    --save_result

Thanks