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JD Retail Technology
JD Retail Technology
Apr 16, 2025 · Artificial Intelligence

AI‑Driven 3D Spatial Video Generation from Monocular 2D Content with MV‑HEVC Encoding

This work presents an end‑to‑end AI pipeline that transforms existing monocular 2D videos into immersive 3D spatial streams by combining DINO‑v2‑based depth estimation, multi‑branch view synthesis, and MV‑HEVC encoding, achieving up to 33 % BD‑Rate reduction, 31 % speed gains, state‑of‑the‑art visual quality, and real‑time production suitability, validated on the new StereoV1K benchmark and deployed in JD.Vision’s e‑commerce catalog.

3D videoAI generationAIGC
0 likes · 21 min read
AI‑Driven 3D Spatial Video Generation from Monocular 2D Content with MV‑HEVC Encoding
Tencent Tech
Tencent Tech
Oct 26, 2023 · Artificial Intelligence

Unlocking Tencent Hunyuan Text‑to‑Image: A Complete Guide and Prompt Tips

This guide introduces Tencent Hunyuan's upgraded text‑to‑image model, explains its technical innovations, provides detailed prompt engineering advice, showcases example prompts and generated images across various styles, and highlights real‑world applications and performance metrics for developers and creators.

AI generationTencent Hunyuanimage synthesis
0 likes · 12 min read
Unlocking Tencent Hunyuan Text‑to‑Image: A Complete Guide and Prompt Tips
DaTaobao Tech
DaTaobao Tech
Mar 13, 2023 · Artificial Intelligence

AI‑Driven 3D Content Creation and Optimization for E‑commerce

The article presents an AI‑driven pipeline that creates, delivers, and optimizes 3D e‑commerce content by leveraging diffusion‑based generation, txt2img/img2img style transfer, Shapley‑value interpretability, and a multi‑level traffic amplification framework to overcome modeling efficiency, asset scarcity, and production cost challenges.

3D contentAI generationFeature Engineering
0 likes · 12 min read
AI‑Driven 3D Content Creation and Optimization for E‑commerce
Tencent Cloud Developer
Tencent Cloud Developer
Nov 1, 2022 · Artificial Intelligence

The Rise of AI-Generated Content: Technologies, Applications, and Risks

The article surveys the evolution of AI‑generated content from early art programs to modern diffusion‑based text‑to‑image and text‑to‑video models, outlines key milestones such as Stable Diffusion and DALL‑E 2, explores gaming applications, and highlights limitations, ethical concerns, and copyright risks of open‑source generative AI.

AI generationCreative AIdiffusion models
0 likes · 22 min read
The Rise of AI-Generated Content: Technologies, Applications, and Risks