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From Particles to Fields: Reframing Photon Mapping with Continuous Gaussian Photon Fields Abstract: Accurately modeling light transport is essential for realistic image synthesis. Photon mapping provides physically grounded estimates of complex global illumination effects, such as caustics and specular-diffuse interactions. However, its per-view radiance estimation remains computationally inefficient when rendering multiple views of the same scene. This inefficiency arises from independent photon tracing and stochastic kernel estimation at each viewpoint, leading to redundant computation. To accelerate multi-view rendering, we reformulate photon mapping as a continuous and reusable radiance function. Specifically, we introduce the Gaussian Photon Field (GPF), a learnable representation that encodes photon distributions as anisotropic 3D Gaussian primitives, parameterized by position, rotation, scale, and spectrum. GPF is initialized from physically traced photons in the first SPPM iteration and optimized using multi-view supervision of final radiance, distilling photon-based light transport into a continuous field. Once trained, the field enables differentiable radiance evaluation along camera rays without repeated photon tracing or iterative refinement. Extensive experiments on scenes with complex light transport, such as caustics and specular-diffuse interactions, demonstrate that GPF attains photon-level accuracy while reducing computation by orders of magnitude, unifying the physical rigor of photon-based rendering with the efficiency of neural scene representations.
Paper: https://t.co/epzea36LFw
I don't know if things have changed But every time I told my dad (a retired cardiologist) about doing preventive MRIs and body scans etc He said "yes Piet with any scan, you will find lots of stuff that looks malign (bad) but is mostly benign (good), but you're unsure so you start cutting in the body, doing invasive stuff, doing treatment and that's how you actually make someone sick who was fine before" An example would be prostate cancer which apparently most men have latent cancer cells of anyway after age 50 and it's slowly growing but doesn't mean it will kill them I'd love to hear counters to this though as I want to be a believer in preventative medicine, and do blood work and checkups regularly too
🇪🇺https://t.co/NdorAWqJC3 @euacc 📸https://t.co/lAyoqmSBRX $118K/m 🏡https://t.co/1oqUgfD6CZ $36K/m 🛰https://t.co/ZHSvI2wjyW $43K/m 🌍https://t.co/UXK5AFqCaQ $15K/m 👙https://t.co/RyXpqGuFM3 $14K/m 💾https://t.co/M1hEUBAynC $6K/m
RT @sentdefender: According to an exclusive report published by The Washington Post, the Chairman of the Joint Chiefs of Staff, Gen. Dan Ca…
Root node of the web of threads: https://t.co/ifH80GcLpo
Incredibly pitiful Few Russian (at least ethnic Russian) libs are this debased, “I hope we get conquered by NATO” is mostly a caricature from Ziggers
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1
工作时想保持深度专注，市面上的番茄钟要么功能臃肿，要么界面复杂，想找个专注、简洁的应用并不容易。 恰巧，在 GitHub 发现 Flowkeeper 这个开源番茄钟桌面应用，专为效率控打造，只做一件事并把它做到极致。 提供原生桌面体验，界面简洁清爽，核心功能就是帮你专注工作、记录时间，没有多余的干扰。 GitHub：https://t.co/TMiTP3d10b 支持 Windows、Linux 和 macOS 全平台，完全离线使用，数据存在本地，不依赖任何云服务。 如果你想要一个纯粹的番茄钟工具，不需要那些花里胡哨的功能，只想安静地管理时间和任务，Flowkeeper 值得一试。
💡 挖掘开源的价值 🧑🏻💻 坚持分享 GitHub 上高质量、有趣、实用的教程、AI工具、前沿 AI 技术 🧐 A list cool, interesting projects of GitHub. ✏️ 公众号：GitHubDaily
