if we train a fine tuned video model on my face, should I open source it? I can add good faith guardrails to prevent abuse maybe.
MULTIMODAL AI
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Gemini 2.0 Flash Thinking Exp-0123 Coming Soon
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A new “Gemini 2.0 Flash Thinking Exp-0123” may arrive next week to Google AI Studio on Jan 23rd This is a new updated version of a previously released “thinking” experience.
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Kling 1.6 Generates Stunning AI Videos With Incredible Quality
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👀👌🏽👏🏾 GenAI capabilities are vast! This video is generated from Kling 1.6. Incredible quality and precision.
— Catherine Adenle (@CatherineAdenle) 19 janvier 2025
📹 pabloprompt & hugojido | IG #GenAI #AI #aiart #klingai #Tech #IoT #aifood #Foodie #TechNews #viral #ViralVideos pic.twitter.com/dgLjMbUr4IGenAI capabilities are vast! This video is generated from Kling 1.6. Incredible quality and precision. pabloprompt & hugojido | IG #GenAI #AI #aiart #klingai #Tech #IoT #aifood #Foodie #TechNews #viral #ViralVideos
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Kling AI Tests Elements Feature
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Kling AI is testing the "Elements" feature with creative partners. This feature allows combining up to 4 images to generate videos with consistent objects 👀
— 🚨 AI News | TestingCatalog (@testingcatalog) 18 janvier 2025
But also… 👇 https://t.co/JL9UODVDgN pic.twitter.com/dQDEH3qzrDKling AI is testing the "Elements" feature with creative partners. This feature allows combining up to 4 images to generate videos with consistent objects But also…
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Tarsier2: Advanced Video Understanding with Large Vision-Language Models
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Tarsier2: Advancing Large Vision-Language Models from Detailed Description to Comprehensive Understanding Tarsier2 is a state-of-the-art large vision-language model (LVLM) that excels in video description and understanding, improved by scaling pre-training data,
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Do Generative Video Models Learn Physical Principles
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Do generative video models learn physical principles from watching videos? This paper explores whether generative video models learn physical principles by analyzing their performance on the Physics-IQ benchmark, which tests understanding of laws like fluid dynamics, optics, and
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LLaVA-ST: Multimodal LLM for Spatial-Temporal Video Understanding
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LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding LLaVA-ST is a multimodal large language model designed for spatial-temporal understanding in videos, addressing challenges in coordinate alignment and feature compression. Problem:
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Diffusion Model for Portrait Animation: Joint Depth and Appearance Learning
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Joint Learning of Depth and Appearance for Portrait Image Animation This research presents a diffusion-based generative model for joint learning of depth and appearance in portrait image animation, enabling consistent visual and 3D outputs for various applications. Problem:
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GPT-4o Advances Face Presentation Attack Detection Few-Shot Learning
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Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning The paper investigates GPT-4o for Face Presentation Attack Detection (PAD), showing strong performance in few-shot in-context learning, outperforming specialized PAD models in
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Weekly AI Breakthroughs: Detection, ChatGPT, and Web Navigation
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From uncovering physical laws in videos to animating portraits and navigating the web, this week’s AI research has brought even more breakthroughs! – Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning
– WebWalker: Benchmarking