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Collections including paper arxiv:2312.17172
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From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 27 -
Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance
Paper • 2401.15687 • Published • 20 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 26 -
MouSi: Poly-Visual-Expert Vision-Language Models
Paper • 2401.17221 • Published • 7
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DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 177 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 14 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 42 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 40
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TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Paper • 2312.16862 • Published • 30 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 26 -
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
Paper • 2401.01974 • Published • 5 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 27
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De-Diffusion Makes Text a Strong Cross-Modal Interface
Paper • 2311.00618 • Published • 21 -
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Paper • 2311.10093 • Published • 56 -
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Paper • 2311.13231 • Published • 26 -
Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 47
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Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 14 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 25 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 6 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20
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MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Paper • 2310.09478 • Published • 19 -
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
Paper • 2310.08678 • Published • 12 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 239 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 12