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Note how there's no access to ROPs from CUDA or OpenCL, I guess the same goes for RT. In CUDA 10 there are special warp matrix operations that leverage the tensor cores on compute capability 7 GPUs (https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#wmma), so in general NV seem open t...

@ingenious Thanks, that was helpful! I read Veach's thesis Chapter 8 which explains a lot. The intensity of the emissive objects themselves is uniform (i.e. same intensity in every direction), as you sad. When I just naively evaluate the LTE, cosine terms etc. come into play inside the integral. Whe...

all geometric factors relating to the light source--surface area, distance, and cosine term--are accounted for in the probability of a ray hitting the light source "by accident." This explanation makes sense. What confuses me however is that both surface area and distance (squared) are pa...

I'm wondering, in a naive path tracer w/o NEE or MIS, do I have to scale the contribution of an emissive surface by a dot(n, -ray.dir) term? Intuition says yes because light intensity depends on solid angle - lights viewed from a grazing angle appear darker than lights viewed from normal direction. ...

Here: https://www.youtube.com/watch?v=yaK1e59-oAA it suggests that RT is currently a software feature, but that future GPUs will have fixed-function hardware. ("..the next generation of AMD and Nvidia will have hardware to speed this up.."). This is the most important takeaway IMO.

I think it is required that emitting particles should not scatter light I'm not quite sure if I understand how you come to this assumption and if I totally understand your question, but I don't see why particles that emit light shouldn't also scatter light. However, the mental model behind radiance...

I don't quite understand the question: doesn't the first term refer to a particle density at an integration position x that emits radiance L_e in viewing direction w, and that the particle density absorbs radiance by w.r.t. sigma_a(x)? The emitted radiance is not proportional to the absorption, but ...

Here's the (extended) AO results from the SEARIS paper (https://szellmann.github.io), along with a script to run the benchmark. Results for interesting platforms (CPU,GPU) not listed yet are highly welcome!

Going to talk about Visionaray at SEARIS (http://www.searis.net), which is a workshop colocated with IEEE VR.

Check out this teaser video: https://youtu.be/bhhwEO4KWII

This here paper btw. uses quadrics to project 3-D ellipsoids to 2-D: https://pdfs.semanticscholar.org/df2e/0 ... b231e6.pdf