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DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
Paper • 2412.11100 • Published • 7 -
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity
Paper • 2412.09856 • Published • 10 -
DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
Paper • 2412.09349 • Published • 8 -
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
Paper • 2412.04448 • Published • 10
Collections
Discover the best community collections!
Collections including paper arxiv:2503.23368
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BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 26 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 30 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 31 -
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 30
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Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
Paper • 2312.04483 • Published • 7 -
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators
Paper • 2312.03793 • Published • 18 -
Photorealistic Video Generation with Diffusion Models
Paper • 2312.06662 • Published • 24 -
PEEKABOO: Interactive Video Generation via Masked-Diffusion
Paper • 2312.07509 • Published • 12
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M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
Paper • 2411.04952 • Published • 30 -
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Paper • 2411.05005 • Published • 13 -
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Paper • 2411.04075 • Published • 17 -
Self-Consistency Preference Optimization
Paper • 2411.04109 • Published • 19
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
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DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
Paper • 2412.11100 • Published • 7 -
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity
Paper • 2412.09856 • Published • 10 -
DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
Paper • 2412.09349 • Published • 8 -
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
Paper • 2412.04448 • Published • 10
-
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
Paper • 2411.04952 • Published • 30 -
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Paper • 2411.05005 • Published • 13 -
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Paper • 2411.04075 • Published • 17 -
Self-Consistency Preference Optimization
Paper • 2411.04109 • Published • 19
-
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 26 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 30 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 31 -
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 30
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
Paper • 2312.04483 • Published • 7 -
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators
Paper • 2312.03793 • Published • 18 -
Photorealistic Video Generation with Diffusion Models
Paper • 2312.06662 • Published • 24 -
PEEKABOO: Interactive Video Generation via Masked-Diffusion
Paper • 2312.07509 • Published • 12