G-Lab人脸生成实验的简介

我为什么要创立这个网站?

  各位来到这个网站的朋友,你们好。创立这个网站时,我只是一名研一的在读生。我并不是什么大牛,但是,我研究的生成模型领域足够让我为之着迷并时常感到兴奋。因为我觉得,生成模型就是在用数学方法做着一件很浪漫的事情:它想让计算机学会理解我们所见到的这个世界是如何被“绘制”出来的。每当有团队提出了新的生成模型,并且生成的图片有了更逼真的效果时,我都会为他们感到兴奋,并且迫不亟待地想去了解他们是用了什么样的方法去实现这样的突破的。

  最近,Nvidia公司团队提出了一个StyleGAN模型,在合适训练集下能够生成高清并且逼真的人脸照片。最初看见他们所展示的实验照片时,我感到有些惊讶,因为这样的生成效果太不可思议了,甚至于让我无法准确分辨真实照片与伪造照片的差异。后来我去尝试学习了解他们的模型,并下载了他们的实验数据,然后我发现,这模型的可玩性简直太高了。不仅仅在于它能生成高清的人脸照片,还在于它的模型因为采用了一种分级控制视觉特征的方法,使得我们能够调节不同层级上的特征,从而准确控制我们输出的图片是满足何种样子,譬如长发、短发还是波浪卷发。

  不过,仅仅是模型的可玩性高还不足以激励我去写一个网站,大费周章地推广人家的技术。真正让我想写这个网站的,与我们实验室最近的项目有关。我所在的实验室,应该是我们学校AI领域比较拔尖的实验室了(安利一下:网研院交换中心sk组,导师人巨Nice且组内硬件巨好,欢迎学弟/妹们加入哈~~),在我们计算机视觉组时不时会接到项目要做。然而,我发现,我们接到的项目,从来不曾与生成模型相关,基本上要我们做的,都是与人脸识别、目标检测、物体识别以及视频分析这些很具有应用市场的计算机视觉相关项目。当然,这是可以理解并且接受的,因为企业是需要用稳定的、业界普遍认可的算法模型做相关项目,而生成模型目前在工业应用上没有得到认可,大多还停留在理论层面。

  但是,我觉得这并不妨碍我们探索生成模型应用的步伐。我觉得,对于任何一个科研项目,只要它的想法足够吸引人,它的实现前景足够有价值,它就值得被探究。譬如对于生成模型,你能想象在虚拟现实中见到一个足够美到让你能去爱他(她)的小哥哥(小姐姐),它也能帮助艺术家们把一些极致的幻想描绘出来让人们确切地看见,更宽泛地来说,医疗、建筑、交通、服装等等这些与视觉息息相关的行业都是生成模型能广泛取得应用的领域。综上,这些足够让人振奋的想法让我们相信生成模型的应用价值是巨大的,这些推动着我去写这个网站,只是希望生成模型能取得人们的关注,并且愿意投入和研究它,尽管我在展现的只是其中一个小小的可能性。

  当然,回到现实,再反思反思,其实我并没有把那么大的责任压在我心里,扪心自问,写这网站于我的意义可能还是好玩的成分比较大。不过最后,我想提醒所有来访问这个网站的朋友,要警惕,生成模型描绘地再好,它都只是虚假的,我们要学会不让自己沉陷于这样的虚幻当中,趁早学会适应这样的环境也是网站的一点点意义。我希望,若干年以后,也许我们眼睛分不出真假, 但是心灵能保持淳亮,在虚拟现实和真实生活中穿梭时,能始终做一个有责任有担当的人。

Why did I start this website?

Thank you all for coming to this website. Hello. When I started this website, I was just a graduate student. I’m not a big shot, but I study the field of generative models that fascinate me and get excited from time to time. Because I think generating models is doing a very romantic thing mathematically: it wants computers to learn to understand how the world we see is “drawn”. Whenever a team comes up with a new generation model and the generated pictures have a more realistic effect, I get excited for them and can’t wait to understand what methods they used to achieve such a breakthrough.
Recently, the Nvidia team came up with a StyleGAN model that can generate high-definition and realistic photos of faces in the right training set. When I first saw the experimental photos they showed, I was a little surprised because the effect was so incredible that I couldn’t accurately tell the difference between the real photo and the fake photo. Later, I tried to learn to understand their model, and downloaded their experimental data, and then I found that the playability of the model was simply too high. Not only because it can generate high-definition facial photos, but also because its model uses a hierarchical method to control visual features, so that we can adjust the features at different levels, so as to accurately control what our output pictures look like, such as long hair, short hair or wavy curls.
However, the playability of the model alone is not enough to inspire me to write a website and take great pains to promote other people’s technology. What really makes me want to write this website has something to do with the recent project in our lab. My laboratory should be the top laboratory in the field of AI in our school (Amway: the sk group of the Exchange Center of the Network Research Institute, the mentor is huge Nice and the hardware in the group is excellent, brothers and girls are welcome to join). In our computer vision group, we will receive projects to do from time to time. However, I found that the projects we received were never related to the generation of models, and basically what we had to do were computer vision-related projects such as face recognition, target detection, object recognition and video analysis, which are very useful in the application market. Of course, this is understandable and acceptable, because enterprises need to use stable and generally recognized algorithm models to do related projects, while the generation model has not been recognized in industrial applications, and most of them remain at the theoretical level.
However, I think this does not prevent us from exploring the pace of generating model applications. In my opinion, for any scientific research project, as long as its idea is attractive enough and its realization prospect is valuable enough, it is worth exploring. For example, for generating models, you can imagine seeing a little brother (sister) who is beautiful enough for you to love him or her in virtual reality, and it can also help artists depict some extreme fantasies for people to see exactly. More broadly, industries closely related to vision, such as medical treatment, construction, transportation, clothing and so on, are all fields in which generative models can be widely used. To sum up, these exciting enough ideas make us believe that the application value of the generated model is huge, which prompted me to write this website, just in the hope that the generated model can get people’s attention and be willing to invest in and study it, even though I’m only showing one of the small possibilities.
Of course, back to reality, and then reflect, in fact, I did not put so much responsibility in my heart, ask myself, the significance of writing this website to me may still be more fun. But finally, I would like to remind all friends who visit this website to be vigilant. No matter how well the model is depicted, it is only false. We should learn not to sink into this illusion. It is also a little meaningful for the website to learn to adapt to such an environment as soon as possible. I hope that after a few years, our eyes may not be able to tell the true from the false, but our hearts can remain pure and bright, and we can always be responsible and responsible when shuttling between virtual reality and real life.

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