shuhong (shu) chen
google scholar: TcGJKGwAAAAJ
erdős number: ≤4
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I think rants should be short; short rants are hard.
Possibly more rants to come…
I believe that to truly “understand” data, we must analyze its generative process. For images, generation is a well-studied physical process: light bounces around and enters a camera. We are even able to accurately simulate image synthesis through computer graphics. However, the most powerful image understanding models today work at the pixel-level, without 3D representations or light transport.
I think this is only a matter of scalability, a lack of data and infrastructure. The scale of available high-quality real-world 3D data is still magnitudes behind that of images; similarly, the hardware and software to collect and process 3D datatypes has yet to be widely democratized. With the advancing commercialization of depth imaging and AR/VR, graphics may soon become an integral part of image understanding.