
Sebastien Speierer
@seb_spe
Pixar ➡️ Weta Digital ➡️ EPFL ➡️ Research Engineer at Meta
ID: 823646625470017537
http://speierers.github.io 23-01-2017 21:40:32
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We're excited to present a new method to render Signed Distance Functions (SDFs) in a differentiable manner, enabling high-fidelity image-based shape reconstruction. This is joint work with Delio Vicini and Sebastien Speierer and will be presented at SIGGRAPH'22. (1/8)



Did you know that differentiating a volume renderer will produce biased and noisy derivatives? Our new sampling technique fixes this, improving reconstruction of editable & relightable volumes. Joint work with Merlin Nimier-David, Thomas Müller and Alex Keller at SIGGRAPH'22. (1/8)



Holy smokes Tizian Zeltner's writeup about polarization in the Mitsuba 3 docs is incredible: mitsuba.readthedocs.io/en/latest/src/…


With the recent release of the new Mitsuba 3 system I can now finally also release the code of our "Monte Carlo Estimators for Differential Light Transport" SIGGRAPH paper from last year: github.com/tizian/differe… (Joint work with Sebastien Speierer, Iliyan Georgiev, and Wenzel Jakob {deprecation notice}.)








Following over 1.5 years of hard work (w/Nicolas Roussel& Rami Tabbara), we just released a brand-new version of Dr.Jit (v1.0), my lab's differentiable rendering compiler along with an updated Mitsuba (v3.6). The list of changes is insanely long—here is what we're most excited about🧵


