Tagged articles

differentiable rendering

3 articles · Page 1 of 1
vivo Internet Technology
vivo Internet Technology
Jul 8, 2026 · Artificial Intelligence

VeraRetouch: A Multi‑Task Inference Framework for Photo Editing (SIGGRAPH 2026)

VeraRetouch is a lightweight, fully differentiable photo‑retouching framework that runs on mobile devices, uses a 0.6B visual‑language model as a “retouch brain”, introduces a differentiable Retouch Renderer with three control dimensions, leverages a million‑scale AetherRetouch‑1M+ dataset, and achieves state‑of‑the‑art quality, speed, and deployability across automatic, style‑guided, and parameter‑driven editing tasks.

AIdifferentiable renderingimage retouching
0 likes · 13 min read
VeraRetouch: A Multi‑Task Inference Framework for Photo Editing (SIGGRAPH 2026)
Machine Heart
Machine Heart
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 SplattingSIGGRAPH 2026Tsinghua
0 likes · 14 min read
Learning Adaptive Gaussian Sampling for 3D Generation: Density‑Sampled Gaussians (DeG) at SIGGRAPH 2026
DataFunTalk
DataFunTalk
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
0 likes · 11 min read
Tencent AI Lab's Advances in High‑Fidelity 3D Face Digitization and Evaluation