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Ask Slashdot: What Is the Latest and Greatest In Computer Graphics Research?
OpenSourceAllTheWay writes: In the world of 2D and 3D Visual Content Creation, new tricks that ship with commercial 2D or 3D software are almost always advertised as "fantastically innovative". But when you do some digging as to who precisely invented the new "trick" or "method" and when, you often find that it was first pioneered many many years ago by some little known computer graphics researcher(s) at a university somewhere. Case in point, a flashy new 3D VR software that was released in 2018 was actually based around a 3D calculation method first patented almost 10 years ago. Sometimes you even find that the latest computer graphics software tricks go back to little-known computer graphics research papers published anywhere from 15 to 25 years ago. So the question: What, in mid-2018, is the latest and greatest in 2D or 3D computer graphics research? And which academic/scientific publications or journals should one follow to keep abreast of the latest in computer graphics research?
If you're looking for the great classics in computer graphics, many not so little-known graphics papers are in SIGGRAPH proceedings.
https://en.wikipedia.org/wiki/...
Starting in 2003, all SIGGRAPH papers are published in ACM TOG
https://en.wikipedia.org/wiki/...
Here http://kesen.realtimerendering... This truly helpful fellow collects nigh every paper from every conference covering such in an easily browsable site. The only 2 things not covered are here http://gdcvault.com/ and here http://advances.realtimerender...
Ha ha ha ha... wow, that is... wow, so wrong.
GPUs have increased many-fold in performance since 10 years ago. Not even the fastest video card from back then could power a VR headset today, or support modern gaming on a 4K monitor. CPUs have made less of an increase in raw clock speeds, but have made huge jumps in core count and instructions per clock (especially in specialized areas, like vector units). RAM capacities have gone through the roof. Drive technology has made the jump from HDD to SSD, and then from SATA-based SSDs to PCI-Express.
Yes, from one generation to another is usually a relatively small difference - but with generational changes every 18 to 24 months, over the course of a decade you are looking at much bigger improvements than your comment stated. And this is all without talking about things like using GPUs for general-purpose computation, which has vastly improved performance in many areas of computing.
By the way, this is intended more as to refute the parent comment - not as a direct answer to the subject of the main post.
William George
If all you want is to be able to browse the latest graphics research papers in a convenient fashion, the #1 site to go to is Ke-Sen Huang's page. Every paper released at every major conference from the past 10 to 20 years is there, with links to everything you'd want: ACM reference page, free access preprint if available, website for the paper if available, etc. It's an amazing resource and something you just have to have bookmarked.
If you want something more curated, it becomes trickier, but a fun way of doing it is to look for the "technical papers preview" videos online for SIGGRAPH. A fairly long-standing tradition of that particular conference is to kick off the whole thing with a very short, usually humorous blurb of every technical paper being presented that year, done by the authors of each paper, in one giant marathon session on the first day. Each paper gets like 30 seconds to pitch its idea and show it off visually, and while you can't find the full 2-3 hour presentation that contains all of them, there's usually a shortened version online with some interesting/promising examples.
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Wow. Doubled in core count and 50% faster in 10 years? That is pretty good. My mistake.
I guess going from 4 cores to 18 cores is in 10 years is pretty good. I hope they will add another core this year. That would be awesome. By the way, Intel "generations" are just marketing speak. Meaningless.
How about NVIDIA Ray Tracing?
A lot of more recent Graphics papers (mostly Image Processing, actually) are using Convolutional Neural networks to do various things. There has been a lot of low hanging fruit in the areas of denoising, and various image manipulation techniques, so results in those areas have been transformed in the last few years.
One such "hot" area that has application in the broader area of computer graphics, is the denoising of path traced images. Path tracing uses stochastic light bouncing techniques to produce a highly accurate image (in terms of lighting effects), but these images are noisy (due to the stochastic nature of the rendering process), requiring a large amount of samples to "average away" the noise, and hence being slow to render. Neural networks can learn to remove the noise from such images, potentially allowing for photorealistic images to be created extremely rapidly, perhaps even in realtime. In my view, this is the most exciting "game changing" area in graphics at the moment.
SIGGRAPH is the ACM computer graphics research conference. You won't find anything more cutting edge. Each year they produce a video "SIGGRAPH $YEAR : Technical Papers Preview Trailer". This is exactly what the OP was looking for. Here's 2017's video:
https://www.youtube.com/watch?...
Oh thats easy.
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