Random Field Augmentations for Self-Supervised Representation Learning
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2311.03629
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Published
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6
Generative Multiple Modality
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TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
Paper • 2311.04589 • Published • 18 -
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
Paper • 2311.04901 • Published • 7 -
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Paper • 2311.06783 • Published • 26 -
Trusted Source Alignment in Large Language Models
Paper • 2311.06697 • Published • 10 -
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Paper • 2311.07575 • Published • 13 -
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Paper • 2309.07915 • Published • 4 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 65 -
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration
Paper • 2309.01131 • Published • 1 -
Multimodal Graph Learning for Generative Tasks
Paper • 2310.07478 • Published • 1 -
Language-Informed Visual Concept Learning
Paper • 2312.03587 • Published • 5 -
OneLLM: One Framework to Align All Modalities with Language
Paper • 2312.03700 • Published • 20 -
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
Paper • 2401.11708 • Published • 29 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 44 -
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Paper • 2401.11605 • Published • 21 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 16 -
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Paper • 2402.05195 • Published • 18 -
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing
Paper • 2402.10294 • Published • 22 -
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition
Paper • 2402.15504 • Published • 21 -
Robust Gaussian Splatting
Paper • 2404.04211 • Published • 8 -
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models
Paper • 2404.04478 • Published • 12 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 27 -
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
Paper • 2404.11615 • Published • 2 -
Dynamic Typography: Bringing Words to Life
Paper • 2404.11614 • Published • 43 -
MultiBooth: Towards Generating All Your Concepts in an Image from Text
Paper • 2404.14239 • Published • 8 -
Adding Conditional Control to Text-to-Image Diffusion Models
Paper • 2302.05543 • Published • 40 -
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
Paper • 2406.12649 • Published • 15