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Source channel @githubtrending · Post #14643 · Apr 28

#python#3d#3d_aigc#3d_generation#diffusion_models#hunyuan3d#image_to_3d#shape#shape_generation#text_to_3d#texture_generation Hunyuan3D 2.0 is a powerful tool that creates detailed 3D models with textures in two steps: first building the shape, then adding colors and materials. It works efficiently on standard computers (as low as 5GB VRAM for basic models) and offers multiple ways to use it, like coding, Blender plugins, or online demos, making it accessible for creating game-ready 3D assets, VR/AR content, or custom designs without needing advanced hardware. https://github.com/Tencent/Hunyuan3D-2

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@CryptoM · Post #64744 · 04/09/2026, 05:34 PM

🚀 AI TRENDS | Google Cloud AI's PaperOrchestra Enhances Manuscript Quality Google Cloud AI researchers have introduced PaperOrchestra, a system designed to improve the quality of literature reviews and manuscript formatting. According to NS3.AI, human evaluations revealed that PaperOrchestra achieved a 50%-68% win-rate margin in literature review quality compared to autonomous baselines. The system employs five specialized agents to manage tasks such as organizing raw materials, generating figures, reviewing literature, and formatting manuscripts. To evaluate the effectiveness of PaperOrchestra, researchers developed PaperWritingBench, a framework built from 200 top-tier AI conference papers. This framework demonstrated a 14%-38% improvement in overall manuscript quality, showcasing the potential of PaperOrchestra in enhancing academic writing processes. #AI#GoogleCloudAI#PaperOrchestra#ManuscriptQuality#LiteratureReview#AcademicWriting#AIAgents#ResearchTools#PaperWritingBench