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DaTaobao Tech

Mar 7, 2025 · Artificial Intelligence

Taobao Content AI: Summary of AIGC Content Generation and Multimodal Model Techniques

Taobao’s AIGC pipeline combines a human‑feedback multimodal reward model, audio‑visual joint pre‑training, and Mixture‑of‑Experts distillation to clean data, align outputs with user preferences, and achieve state‑of‑the‑art multimodal LLM performance that drives content cold‑start and conversion gains in e‑commerce.

AIGCMultimodalReward Model

0 likes · 10 min read

Taobao Content AI: Summary of AIGC Content Generation and Multimodal Model Techniques

DaTaobao Tech

Mar 5, 2025 · Artificial Intelligence

Multimodal Large‑Model Cover Generation AI Agent for Taobao Video and Live Streams

Taobao’s new multimodal AI Agent automatically creates high‑quality static and dynamic video covers by planning tasks, consulting a memory of quality criteria, executing frame selection with ReKV streaming and dual‑stage evaluation, generating marketing copy via fine‑tuned Qwen2.5‑7B, and refining layout, resulting in significantly higher click‑through rates, lower latency, and reduced manual effort.

AIMultimodalVideo processing

0 likes · 17 min read

Multimodal Large‑Model Cover Generation AI Agent for Taobao Video and Live Streams

DaTaobao Tech

Mar 3, 2025 · Artificial Intelligence

How Taobao’s “Faxiang” AI Model Revolutionizes E‑Commerce Video Generation

Taobao’s AIGC video generation platform, built on a large‑scale “Faxiang” model that evolved from UNet to DiT, leverages over 2 billion curated e‑commerce videos, expert alignment, Lora fine‑tuning, and multi‑control capabilities to deliver diverse, high‑quality product videos that dramatically boost conversion metrics across the marketplace.

AI video generationAIGCLarge Models

0 likes · 11 min read

How Taobao’s “Faxiang” AI Model Revolutionizes E‑Commerce Video Generation

DaTaobao Tech

Feb 28, 2025 · Artificial Intelligence

AIGC Content Analysis Agent for E‑commerce

We introduce an AIGC‑driven content analysis agent for Taobao that automatically builds a fine‑grained feature taxonomy, multimodally labels images, videos and text, mines causal quality features, and deploys auto‑prompt, memory and LoRA‑based training pipelines, achieving over 90% labeling accuracy, 80% labor savings and double‑digit CTR gains while cutting video generation cost to 25% of GPT‑4o.

AIGCcontent analysisprompt optimization

0 likes · 18 min read

AIGC Content Analysis Agent for E‑commerce

DaTaobao Tech

Feb 26, 2025 · Artificial Intelligence

How Taobao’s AI Turns Static Clothing Images into Seamless Virtual Try‑On Videos

This article analyzes Taobao’s AIGC video virtual try‑on pipeline, detailing the challenges of frame‑level realism and continuity, the upgraded DiT‑based model, 3D‑VAE compression, large‑scale data collection, template‑matching mechanisms, and the resulting product capabilities for automated marketing and personalized shopper experiences.

AI video generationcontent generatione-commerce

0 likes · 13 min read

How Taobao’s AI Turns Static Clothing Images into Seamless Virtual Try‑On Videos

DaTaobao Tech

Feb 24, 2025 · Artificial Intelligence

AIGC Video Generation Techniques for E‑commerce: Lip‑Sync, Head/Body Driving, and Business Applications

The article surveys recent AIGC video generation advances for Taobao e‑commerce, detailing lip‑sync models like Wav2Lip and MuseTalk, head‑driven systems such as Hallo and EchoMimic, body‑driven pipelines including AnimateAnyone and Tango, and a four‑stage production workflow that boosts click‑through rates and enables virtual try‑on.

AIGCVideo Generationdeep learning

0 likes · 21 min read

AIGC Video Generation Techniques for E‑commerce: Lip‑Sync, Head/Body Driving, and Business Applications

DaTaobao Tech

Feb 21, 2025 · Artificial Intelligence

AI-Powered Face Swapping for the Spring Festival Gala: System Design and Deployment

The paper details the design and deployment of an AI‑driven face‑swap platform for the 2025 CCTV Spring Festival Gala, featuring a dual‑model SDXL pipeline with ControlNet and LoRA fine‑tuning, optimized preprocessing and GPU‑specific acceleration to achieve sub‑3‑second latency at over 10 k QPS, supporting scaling, throttling, and multi‑region load balancing, and ultimately serving ten million users and generating hundreds of millions of personalized gala images.

AI EngineeringAIGCSpring Festival Gala

0 likes · 28 min read

AI-Powered Face Swapping for the Spring Festival Gala: System Design and Deployment

DaTaobao Tech

Feb 19, 2025 · Frontend Development

Canvas Engine for AIGC‑Enabled Product Design

TMIC’s Canvas Engine combines a Konva‑based front‑end canvas framework with AIGC model interfaces to give merchants low‑level, undoable editing tools—such as template loading, intelligent image adjustments, magic eraser, filters, and watermarking—while exposing an SDK and JSON protocol for easy integration and future AI‑driven extensions.

AIGCCanvas EngineJSON Protocol

0 likes · 16 min read

Canvas Engine for AIGC‑Enabled Product Design

DaTaobao Tech

Feb 14, 2025 · Mobile Development

Resolving SurfaceView Flash Black Issues in Taobao Shopping Cart with Hybrid Architecture

The black‑flash in Taobao’s shopping‑cart tab occurs because SurfaceView’s independent surface is destroyed during fragment removal or activity switches, and four remedies are offered: keep the fragment alive with show/hide, capture and display a screenshot, toggle between ImageView and SurfaceView via Weex APIs, or convert SurfaceView to TextureView temporarily, each with performance, memory, and latency trade‑offs.

AndroidFragmentPerformance

0 likes · 10 min read

Resolving SurfaceView Flash Black Issues in Taobao Shopping Cart with Hybrid Architecture

DaTaobao Tech

Feb 12, 2025 · Mobile Development

Optimizing Fragment Transition Animations in Android: Analysis and Solutions

The article examines why Android fragment transition animations lag compared to activity animations and proposes three remedies—delaying heavy UI work, feeding data frame‑by‑frame via Choreographer callbacks, and using an asynchronous SurfaceView snapshot—to achieve smoother, deterministic UI performance on low‑end devices.

AndroidFragmentPerformance

0 likes · 13 min read

Optimizing Fragment Transition Animations in Android: Analysis and Solutions