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Ziqi Huang

@ziqi_huang_ • 3,041 subscribers

Ph.D. student @NTUsg MMLab@NTU - Visual Generation

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🎥 𝗩𝗕𝗲𝗻𝗰𝗵 𝗔𝗿𝗲𝗻𝗮: 𝗪𝗮𝘁𝗰𝗵 𝗔𝗜-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗩𝗶𝗱𝗲𝗼𝘀 𝗜𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆 🎥 ✅ 180,000+ AI-generated videos, 40+ models (and growing) ✅ You can optionally vote for your preferred outputs Try it here:

🎥 𝗩𝗕𝗲𝗻𝗰𝗵 𝗔𝗿𝗲𝗻𝗮: 𝗪𝗮𝘁𝗰𝗵 𝗔𝗜-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗩𝗶𝗱𝗲𝗼𝘀 𝗜𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆 🎥 ✅ 180,000+ AI-generated videos, 40+ models (and growing) ✅ You can optionally vote for your preferred outputs Try it here:

14,845 görüntüleme

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We’ve open-sourced 🔁 𝗨𝗠𝗠-𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 🔁 ! Teaching unified multimodal models to generate, reflect & redraw with 𝘪𝘯𝘵𝘦𝘳𝘭𝘦𝘢𝘷𝘦𝘥 𝘙𝘓. 🚀 GenEval: 0.71 → 0.84, with gains on unseen benchmarks (WISE, T2I-CompBench++, OneIG) too!

We’ve open-sourced 🔁 𝗨𝗠𝗠-𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 🔁 ! Teaching unified multimodal models to generate, reflect & redraw with 𝘪𝘯𝘵𝘦𝘳𝘭𝘦𝘢𝘷𝘦𝘥 𝘙𝘓. 🚀 GenEval: 0.71 → 0.84, with gains on unseen benchmarks (WISE, T2I-CompBench++, OneIG) too!

14,059 görüntüleme • 1 ay önce

An interesting work on Physical AI: PhysX-Omni. First unified sim-ready generation framework for rigid, deformable, and articulated objects, with a diverse dataset and new benchmark. 🌐 💻 📦

An interesting work on Physical AI: PhysX-Omni. First unified sim-ready generation framework for rigid, deformable, and articulated objects, with a diverse dataset and new benchmark. 🌐 💻 📦

27,240 görüntüleme • 5 ay önce

🎬 VChain is accepted to #ACL2026 Findings! 🚀 #VChain is an inference-time framework that injects reasoning signals (*Chain-of-Visual-Thought*) from MLLMs to guide video generation for better consistency. 🔗 Website: 📄 Paper:

🎬 VChain is accepted to #ACL2026 Findings! 🚀 #VChain is an inference-time framework that injects reasoning signals (Chain-of-Visual-Thought) from MLLMs to guide video generation for better consistency. 🔗 Website: 📄 Paper:

13,774 görüntüleme • 6 ay önce

𝗠𝗲𝘁𝗮𝗖𝗮𝗻𝘃𝗮𝘀 🎨 lets MLLMs "𝘥𝘳𝘢𝘧𝘵 𝘢𝘯𝘥 𝘥𝘳𝘢𝘸 𝘰𝘯 𝘢 𝘤𝘢𝘯𝘷𝘢𝘴" to guide diffusion generators. - canvas: spatial & temporal latents - gains on 6 tasks: T2I, T/I2V, image/video editing, in-context vgen. 📄 🌐

𝗠𝗲𝘁𝗮𝗖𝗮𝗻𝘃𝗮𝘀 🎨 lets MLLMs "𝘥𝘳𝘢𝘧𝘵 𝘢𝘯𝘥 𝘥𝘳𝘢𝘸 𝘰𝘯 𝘢 𝘤𝘢𝘯𝘷𝘢𝘴" to guide diffusion generators. - canvas: spatial & temporal latents - gains on 6 tasks: T2I, T/I2V, image/video editing, in-context vgen. 📄 🌐

11,054 görüntüleme • 10 ay önce

📊 VBench: Comprehensive Benchmark Suite for Video Generative Models 🎞️ 🏛️ Hierarchical and Disentangled Dimensions 👁️ Human-Alignment in Each Dimension 🌟 Valuable and Multi-Perspective Insights Website: Code:

📊 VBench: Comprehensive Benchmark Suite for Video Generative Models 🎞️ 🏛️ Hierarchical and Disentangled Dimensions 👁️ Human-Alignment in Each Dimension 🌟 Valuable and Multi-Perspective Insights Website: Code:

19,008 görüntüleme • 2 yıl önce

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