Timeline for One-sample multiple importance sampling, with environment and brdf
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 23 at 2:03 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 26 at 1:05 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 26 at 1:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 1 at 4:52 | comment | added | Enigmatisms♦ | There can be more than two strategies. For example, use one-sample model with three different sampling methods: (1) BRDF sampling (2) precomputed inverse transform importance sampling of the env-map (in PBR-book) (3) cosine-weighted sampling: you know the normal of the hit position, then sample around the normal using cosine-weighted sampling. Method (1) (3) will ensure to have front-facing samples, while method (2) can yield high contribution samples. | |
| Dec 27, 2024 at 0:12 | answer | added | badatcode123 | timeline score: 0 | |
| Nov 21, 2024 at 19:36 | comment | added | Hubble | You could add a third sampling strategy that samples in the general direction of that bright light (e.g., a spherical Gaussian) and compute the MIS weights accordingly. This will remain unbiased. | |
| S Nov 21, 2024 at 12:35 | review | First questions | |||
| Nov 23, 2024 at 2:33 | |||||
| S Nov 21, 2024 at 12:35 | history | asked | Thomas Conrad | CC BY-SA 4.0 |