Face Sketch Synthesis From Coarse to Fine
Authors: Mingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, Xinbo Gao
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on public face sketch databases illustrate that our proposed framework outperforms the state-of-the-art methods in both quantitive and visual comparisons. |
| Researcher Affiliation | Collaboration | 1 State Key Laboratory of Integrated Services Networks, School of Telecommunications, Xidian University, Xi an 710071, China 2 Yunnan Union Vision Innovations Technology Company Limited, Kunming 650000, China 3 School of Electronic Engineering, Xidian University, Xi an 710071, China |
| Pseudocode | Yes | Algorithm 1 Realization procedure |
| Open Source Code | No | The paper does not provide any explicit statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | Yes | We conduct experiments on the Chinese University of Hong Kong (CUHK) face sketch database (CUFS) (Wang and Tang 2009), which consists of 606 face sketchphoto pairs. |
| Dataset Splits | No | The paper describes training and test splits for the datasets but does not explicitly mention a separate validation split or how it was used. |
| Hardware Specification | Yes | The coarse stage is conducted using Torch on Ubuntu 14.04 system with 12G NVIDIA Titan X GPU, whereas the fine stage is tested using Matlab on Window 7 System with i7-4790 3.6G CPU. |
| Software Dependencies | No | The paper mentions 'Torch' and 'Matlab' as software used, but does not provide specific version numbers for these software dependencies, only for the operating systems (Ubuntu 14.04, Window 7). |
| Experiment Setup | Yes | In the proposed approach, we set six parameters. The number of candidates K is 10, the patch size is 11, the overlap size is 7, the search region is 5, and the balance parameters α and β are 100 and 1, respectively. |