Keep on to blur preview images; turn off to show them clearly
Wrote an essay about this, probably the last year where we're not gonna all be dealing with this. https://t.co/eRfSs4LbpR
Opening portals to handheld VR at https://t.co/A2JMItorCV. Problems soluble, potential to improve invariant.
![RT @janusch_patas: [SIGGRAPH ASIA '25] Detail-Enhanced Gaussian Splatting for Large-Scale Volumetric Capture
Contributions:
- A two-stage…](/_next/image?url=https%3A%2F%2Fpbs.twimg.com%2Fprofile_images%2F1938856785290448896%2FWNg-oYZF_400x400.jpg&w=3840&q=75 "RT @janusch_patas: [SIGGRAPH ASIA '25] Detail-Enhanced Gaussian Splatting for Large-Scale Volumetric Capture
Contributions:
- A two-stage…")
RT @janusch_patas: [SIGGRAPH ASIA '25] Detail-Enhanced Gaussian Splatting for Large-Scale Volumetric Capture Contributions: - A two-stage…
Your guide to radiance fields | Host of the podcast @ViewDependent | Founder and CEO of https://t.co/5MjtfpwEU3 | discord: https://t.co/lrl64WGvlD
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DeepSeek OCR is powerful but do you even need OCR models for RAG? This vision-based system answers questions directly from PDF images using VLMs and reasoning-based retrieval. No OCR. No chunking. No vectors. Just reasoning. 100% open-source.
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(in this case i would bet on a creative variant of v3: like many experts dropped to maximize throughput).
Reasoning models coming (very) soon. Co-founder @pleiasfr