May 21, 2026 · Artificial Intelligence

Learning Adaptive Gaussian Sampling for 3D Generation: Density‑Sampled Gaussians (DeG) at SIGGRAPH 2026

The SIGGRAPH 2026 paper “Generative 3D Gaussians with Learned Density Control” introduces Density‑Sampled Gaussians (DeG), a differentiable framework that lets a model learn where to place Gaussian splats by sampling from a learned spatial density, enabling arbitrary‑budget, non‑uniform 3D representations with higher quality per cost.

3D Gaussian SplattingAdaptive SamplingDifferentiable Rendering

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Learning Adaptive Gaussian Sampling for 3D Generation: Density‑Sampled Gaussians (DeG) at SIGGRAPH 2026

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Jan 12, 2023 · Artificial Intelligence

Tencent AI Lab's Advances in High‑Fidelity 3D Face Digitization and Evaluation

This article presents Tencent AI Lab's recent research on efficient 3D face digitization—including single‑photo, multi‑photo, and RGB‑D selfie pipelines—describes a detailed production workflow, introduces a new evaluation benchmark (REALY), and shares insights from a technical Q&A session.

3D face reconstructionAI LabComputer Vision

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Tencent AI Lab's Advances in High‑Fidelity 3D Face Digitization and Evaluation