#SIGGRAPHASIA
Live, measured metrics for the hashtag #SIGGRAPHASIA from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #siggraphasia
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 19:53 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 19:53 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 19:53 UTCEverything below is measured over the latest 13 public posts (spanning ~30105 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (12) · German (1)
Avg boosts / post: 4.8
Top of the latest posts
At #Siggraph Asia 2024, we will present MARS: a novel multi-sample multiple importance sampling technique whose efficiency is out of this world! 🚀🪐 By bridging the gap between MIS and Russian roulette and splitting, we allocate a local, e
Ray marching is a common approach to GPU-accelerated volume rendering, but gives biased transmittance estimates. My new #SIGGRAPHAsia paper (+code) proposes an amazingly simple formula to eliminate this bias almost completely without using
I finally got around to uploading the source code of our paper, MARS, which we will be presenting at #Siggraph Asia 2024. You can now clone the repository on github and experience the efficiency gains of our multi-sample MIS budget allocati
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/siggraphasia