Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
Authors: Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang609-616
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Comparison with existing pencil drawing algorithms shows that our method is superior to others in terms of texture quality, style, and user evaluation. |
| Researcher Affiliation | Collaboration | Zhengyan Tong,1 Xuanhong Chen,1,2 Bingbing Ni,1,2* Xiaohang Wang 1 1 Shanghai Jiao Tong University 2 Huawei Hisilicon |
| Pseudocode | No | The paper describes algorithmic steps in text and figures but does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | Yes | Our code and supplementary material are now available at: https://github.com/TZYSJTU/Sketch-Generation-with Drawing-Process-Guided-by-Vector-Flow-and-Grayscale |
| Open Datasets | No | The paper does not provide concrete access information (specific link, DOI, repository name, formal citation with authors/year, or reference to established benchmark datasets) for a publicly available or open dataset. |
| Dataset Splits | No | The paper refers to using input images and comparing results but does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) needed to reproduce the data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers like Python 3.8, CPLEX 12.4) needed to replicate the experiment. |
| Experiment Setup | Yes | Usually, we fix W to be 5 pixels to get finer details. We fix the quantization order of direction to be 10 because too few directions will make the texture fluency worse, but too many directions will not improve the visual experience. The quantization order of gray level could be chosen from 8-16 according to the input. |