Songcan Chen, Chongyi Li, Shuo Yang, Sheng-Jun Huang, Dong Liang, Yuyan Zhou
We lifted 12 functions out of this paper's own repositories and ran 9 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| YuyanZhou1/Improving-Lens-Flare-Removal | canonical | 9 of 12 |
| Function | Status | Where it lives |
|---|---|---|
| apply_blur | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/utils.py pointer only (licence: NONE) · get_code("b302cb7f9a0bac7d") |
| center_crop | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/remove_flare.py pointer only (licence: NONE) · get_code("195f94de9d19fd91") |
| get_model | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/u_net.py pointer only (licence: NONE) · get_code("212615acc69e2ee5") |
| get_scene_dataset | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/data_provider.py pointer only (licence: NONE) · get_code("8414ecb64760579d") |
| image_dataset_from_files | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/data_provider.py pointer only (licence: NONE) · get_code("b5ad2ce24e0594f0") |
| quantize_8 | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/utils.py pointer only (licence: NONE) · get_code("0c6930b4b2a6ec69") |
| remove_flare | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/utils.py pointer only (licence: NONE) · get_code("53635106ca0a9910") |
| window_partition | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/models.py pointer only (licence: NONE) · get_code("e2adf1ceac443f14") |
| window_reverse | Ran | YuyanZhou1/Improving-Lens-Flare-Removal/models.py pointer only (licence: NONE) · get_code("1081e4c5bd78e72b") |
| build_can | Not yet run | YuyanZhou1/Improving-Lens-Flare-Removal/vgg.py pointer only (licence: NONE) · get_code("45b39e353cf2a5ab") |
| image_dataset_from_tfrecords | Not yet run | YuyanZhou1/Improving-Lens-Flare-Removal/data_provider.py pointer only (licence: NONE) · get_code("c718c80b0b30c36b") |
| mixup | Not yet run | YuyanZhou1/Improving-Lens-Flare-Removal/synthesis.py pointer only (licence: NONE) · get_code("6cc61f5df7939b4b") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
https://github.com/YuyanZhou1/Improving-Lens-Flare-Removal iPad Air4 Huawei Mate20 iPhone 13 pro iPhone 11 OPPO reno 4 pro iPad 2020 Input Output Figure 1. The proposed solution yields favorable results on the flare-corrupted images captured by various devices. The real and diverse flare-corrupted images are provided in our consumer electronics test dataset. The results are produced by the deep model U-Former trained using our solution that includes the new data synthesis pipeline and multiple light sources recovery strategy.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2308.16460")
get_code_for_paper("2308.16460")
have("2308.16460")
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