Seon Kim, Jinwoo Kim, Jinho Jeong, Sangmin Han
We lifted 8 functions out of this paper's own repositories and ran 5 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 |
|---|---|---|
| 3587jjh/lsrna | — | 5 of 8 |
| Function | Status | Where it lives |
|---|---|---|
| PatchEmbed | Ran | 3587jjh/lsrna/lsr/swinir.py pointer only (licence: NONE) · get_code("ff70504409e0ef02") |
| PatchUnEmbed | Ran | 3587jjh/lsrna/lsr/swinir.py pointer only (licence: NONE) · get_code("223f9228b44f77f4") |
| RSTB | Ran | 3587jjh/lsrna/lsr/swinir.py pointer only (licence: NONE) · get_code("64564d9d8d7ee992") |
| UpsampleOneStep | Ran | 3587jjh/lsrna/lsr/swinir.py pointer only (licence: NONE) · get_code("2954dcfb57741b89") |
| WindowAttention | Ran | 3587jjh/lsrna/lsr/swinir.py pointer only (licence: NONE) · get_code("c03392ec1f6065d1") |
| BasicLayer | Not yet run | 3587jjh/lsrna/lsr/swinir.py pointer only (licence: NONE) · get_code("bf46e677688a82bb") |
| SwinIR | Not yet run | 3587jjh/lsrna/lsr/swinir.py pointer only (licence: NONE) · get_code("0dd67a76da7dee76") |
| SwinTransformerBlock | Not yet run | 3587jjh/lsrna/lsr/swinir.py pointer only (licence: NONE) · get_code("7d675ffafa9e4051") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Pixelsmith LSRNA-Pixelsmith (Ours) 505 sec (100%) 314 sec (62%) DemoFusion LSRNA-DemoFusion (Ours) 1507 sec (100%) 506 sec (34%) Zoomed-in view Zoomed-in view Zoomed-in view Zoomed-in view 16× Resolution [4 × 4096] 16× Resolution [4 × 4096] 1× 16× Resolution [4 × 4096] 16× Resolution [4 × 4096] 1× Figure 1. Comparisons of 16× image generation with and without LSRNA framework. Our proposed LSRNA framework improves reference-based higher-resolution image generation, enhancing detail and sharpness beyond the native resolution of SDXL [36] (1024 2 ) while achieving faster generation speeds.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2503.18446")
get_code_for_paper("2503.18446")
have("2503.18446")
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