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āļø Speaches š„š¢šš„
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āļø A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content
#text2img
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āļø CAR: Controllable AutoRegressive Modeling for Visual Generation š
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āļø ControlVAR: Exploring Controllable Visual Autoregressive Modeling
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āļø Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint š„
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āļø LLamaGen Model, fine-tuned on 500,000 high-quality images, each accompanied by over 300 token prompts š„
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āļø UltraPixel: Advancing Ultra-High Resolution Image Synthesis to New Peaks š„
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āļø Medical Vision Generalist: Unifying Medical Imaging Tasks in Context š„
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āļø EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech
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āļø PolyglotPDF: Multilingual PDF processing tool, supports online and offline translation while maintaining original layout; performs OCR on scanned PDFs, faster than ocrmypdf. Provides a Web UI for comparing original PDFs, includes chat with PDF functionality, and academic PDF search based on the Semantic Scholar API š„š„š„
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āļø Consistent Flow Distillation š„
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āļø TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action
#Multimodal
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āļø MegaSynth: Scaling Up 3D Scene Renstruction with Synthesized Data
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āļø MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization š„
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āļø FactifAI - AI-Powered Research Assistants š„
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āļø TC4D: Trajectory-Conditioned Text-to-4D Generation
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āļø TC4D: Trajectory-Conditioned Text-to-4D Generation
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āļø LCM-Lookahead for Encoder-based Text-to-Image Personalization
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āļø Bridge is a lightweight Python framework designed to provide a unified interface to deep learning datasets from different modalities. š„š
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āļø MyVLM: Personalizing VLMs for User-Specific Queries
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