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MattNiessner
@MattNiessner
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🧵 Data release: high-res, multi-view, OLAT face recordings We captured individuals in our custom light stage with 16 high-end, global shutter cameras (72 fps) and 40 LED modules, totaling 2.8M precisely calibrated frames. We us the data for BecomingLit (#NeurIPS2025): intrinsically decomposed Gaussian avatars, enabling photorealistic and real-time relighting via hybrid neural shading. Code & Data: https:// jonathsch.github.io/becominglit/ Great work by @jnthnschmdt , @SGiebenhain

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Posted: 1/22/2026Scraped: 1/22/2026
Published to RedNote