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vivo Internet Technology
vivo Internet Technology
Oct 21, 2026 · Artificial Intelligence

Memory as Governance: Lifecycle, Feedback & Forgetting for Reliable AI Actions

This article presents KDC's memory runtime framework, where memory objects undergo lifecycle stages—formation, reinforcement, decay, conflict, forgetting, migration, archival—governed by feedback validation and error attribution, enabling AI systems to selectively apply historical experience rather than indiscriminately accumulating it.

AI Memory ManagementAI ReliabilityContinuous Consistency
0 likes · 31 min read
Memory as Governance: Lifecycle, Feedback & Forgetting for Reliable AI Actions
vivo Internet Technology
vivo Internet Technology
Sep 23, 2026 · Artificial Intelligence

ART: Two-Stage Makeup Transfer Anchors Supervision to Real Images, Beats Pseudo-Target Ceiling

vivo BlueImage Lab introduces ART, a two-stage makeup transfer framework that first learns from synthetic pseudo-targets then refines using real reference images as supervision, achieving state-of-the-art fidelity on complex makeup like glitter and face painting while preserving identity, and releases the first 2K makeup dataset MF2K.

ECCV 2026MF2K datasetcomputer vision
0 likes · 15 min read
ART: Two-Stage Makeup Transfer Anchors Supervision to Real Images, Beats Pseudo-Target Ceiling
vivo Internet Technology
vivo Internet Technology
Sep 9, 2026 · Artificial Intelligence

SmartPhotoCrafter: Think-First Photo Enhancement Unifies Restoration & Retouching

SmartPhotoCrafter introduces a unified reasoning-to-generation framework for automatic photo enhancement: an Image Critic analyzes quality via chain-of-thought reasoning, then a Photographic Artist performs high-fidelity restoration and aesthetic retouching, unifying dehazing, deblurring, and color grading without explicit user instructions, trained via a three-stage strategy with multi-level rewards.

SmartPhotoCrafterautomatic photo enhancementchain-of-thought
0 likes · 13 min read
SmartPhotoCrafter: Think-First Photo Enhancement Unifies Restoration & Retouching
vivo Internet Technology
vivo Internet Technology
Aug 19, 2026 · Artificial Intelligence

Octopus: History‑Free Gradient Orthogonalization for Continual Learning (CVPR 2026)

Octopus introduces a history‑free gradient orthogonalization (HiFGO) constraint and a two‑stage finetuning strategy that together eliminate catastrophic forgetting, achieve positive backward transfer, and set new SOTA results on the UCIT benchmark, improving Avg and Last metrics by 2.14% and 6.82% without extra inference cost.

Continual LearningUCIT benchmarkgradient orthogonalization
0 likes · 11 min read
Octopus: History‑Free Gradient Orthogonalization for Continual Learning (CVPR 2026)
vivo Internet Technology
vivo Internet Technology
Aug 5, 2026 · Artificial Intelligence

Self‑Swap Guidance: Boost Diffusion Models by Direct Token Swaps (CVPR 2026 Oral)

Self‑Swap Guidance (SSG) introduces a lightweight, text‑free, noise‑free diffusion model guidance that swaps the most dissimilar token pairs in spatial and channel dimensions during inference, creating structural perturbations that improve image quality and robustness, outperforming existing unconditional guidance methods across multiple benchmarks.

CVPR 2026diffusion modelsimage generation
0 likes · 9 min read
Self‑Swap Guidance: Boost Diffusion Models by Direct Token Swaps (CVPR 2026 Oral)
vivo Internet Technology
vivo Internet Technology
Jul 8, 2026 · Artificial Intelligence

How AI Shifts Recommendation Systems from Simply Pushing Items to Guiding User Choices

The article examines how large‑language models can augment a game‑distribution recommender by keeping accurate ranking while adding an expression and decision layer that explains differences between similar titles, using a structured schema, an exploration‑to‑convergence workflow, and engineering safeguards to make the insights stable and reusable.

AIGame UnderstandingLLM
0 likes · 19 min read
How AI Shifts Recommendation Systems from Simply Pushing Items to Guiding User Choices
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)
vivo Internet Technology
vivo Internet Technology
Jul 1, 2026 · Backend Development

From 10 Minutes to 1 Second: Three‑Stage Elasticsearch Deep‑Pagination Jump Optimization

This article details how a photo‑contest backend migrated from MySQL to Elasticsearch and, through three iterative optimizations—segment pre‑warming, recent‑anchor positioning with Redis ZSet, and a large‑region‑plus‑small‑page cache—reduced arbitrary deep‑page response time on 500 k records from ten minutes to under one second.

Deep PaginationElasticsearchRedis cache
0 likes · 15 min read
From 10 Minutes to 1 Second: Three‑Stage Elasticsearch Deep‑Pagination Jump Optimization