Jifeng Dai, Qi Dou, Yu Qiao, Xiaowei Hu, Lei Zhu, Jiaqi Xu, Pheng-Ann Heng
We lifted 6 functions out of this paper's own repositories and ran 6 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 |
|---|---|---|
| jiaqixuac/MAP-Net | canonical | 6 of 6 |
| Function | Status | Where it lives |
|---|---|---|
| bbox2mask | Ran | jiaqixuac/MAP-Net/mmedit/core/mask.py code served (permissive licence) · get_code("d538533133adaba1") |
| brush_stroke_mask | Ran | jiaqixuac/MAP-Net/mmedit/core/mask.py code served (permissive licence) · get_code("d68635a8d8e5f4b5") |
| flow_warp_5d | Ran | jiaqixuac/MAP-Net/mmedit/models/backbones/map_backbones/map_utils.py code served (permissive licence) · get_code("e14c8a75848aac71") |
| nchw_to_nlc | Ran | jiaqixuac/MAP-Net/mmedit/models/backbones/map_backbones/map_utils.py code served (permissive licence) · get_code("f7a6c2f2d2956250") |
| nlc_to_nchw | Ran | jiaqixuac/MAP-Net/mmedit/models/backbones/map_backbones/map_utils.py code served (permissive licence) · get_code("4633d201072bf651") |
| tensor2img | Ran | jiaqixuac/MAP-Net/mmedit/core/misc.py code served (permissive licence) · get_code("dcecea617ace8bea") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Video dehazing aims to recover haze-free frames with high visibility and contrast. This paper presents a novel framework to effectively explore the physical haze priors and aggregate temporal information. Specifically, we design a memory-based physical prior guidance module to encode the prior-related features into long-range memory. Besides, we formulate a multi-range scene radiance recovery module to capture space-time dependencies in multiple space-time ranges, which helps to effectively aggregate temporal information from adjacent frames. Moreover, we construct the first large-scale outdoor video dehazing benchmark dataset, which contains videos in various real-world scenarios. Experimental results on both synthetic and real conditions show the superiority of our proposed method.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2303.09757")
get_code_for_paper("2303.09757")
have("2303.09757")
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