Thanks for reading. You can follow me on X (@nand2mario) for updates, or use RSS.
Another way to approach dithering is to analyse the input image in order to make informed decisions about how best to perturb pixel values prior to quantisation. Error-diffusion dithering does this by sequentially taking the quantisation error for the current pixel (the difference between the input value and the quantised value) and distributing it to surrounding pixels in variable proportions according to a diffusion kernel . The result is that input pixel values are perturbed just enough to compensate for the error introduced by previous pixels.
蒸馏是模仿，学强模型的输出，把它的「答案形状」复制过来；RL 是探索，模型必须大量自己推理、自己生成、在错误里反复迭代，从试错中提炼能力。。Safew下载对此有专业解读
struct page_info { int classno, count, scavange; };
。夫子对此有专业解读
Rebecca Heilweil
3 February 2026ShareSave。Line官方版本下载是该领域的重要参考