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MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 20 -
Spectrally Pruned Gaussian Fields with Neural Compensation
Paper • 2405.00676 • Published • 10 -
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
Paper • 2404.18212 • Published • 30 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 122
Collections
Discover the best community collections!
Collections including paper arxiv:2405.08344
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VideoPrism: A Foundational Visual Encoder for Video Understanding
Paper • 2402.13217 • Published • 40 -
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding
Paper • 2405.08344 • Published • 15 -
Helios: Real Real-Time Long Video Generation Model
Paper • 2603.04379 • Published • 186
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DreamLLM: Synergistic Multimodal Comprehension and Creation
Paper • 2309.11499 • Published • 60 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 134 -
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding
Paper • 2405.08344 • Published • 15
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PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Paper • 2404.16994 • Published • 37 -
VideoMamba: State Space Model for Efficient Video Understanding
Paper • 2403.06977 • Published • 29 -
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 37 -
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding
Paper • 2403.09626 • Published • 15
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
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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MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 20 -
Spectrally Pruned Gaussian Fields with Neural Compensation
Paper • 2405.00676 • Published • 10 -
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
Paper • 2404.18212 • Published • 30 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 122
-
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Paper • 2404.16994 • Published • 37 -
VideoMamba: State Space Model for Efficient Video Understanding
Paper • 2403.06977 • Published • 29 -
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 37 -
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding
Paper • 2403.09626 • Published • 15
-
VideoPrism: A Foundational Visual Encoder for Video Understanding
Paper • 2402.13217 • Published • 40 -
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding
Paper • 2405.08344 • Published • 15 -
Helios: Real Real-Time Long Video Generation Model
Paper • 2603.04379 • Published • 186
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
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
-
DreamLLM: Synergistic Multimodal Comprehension and Creation
Paper • 2309.11499 • Published • 60 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 134 -
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding
Paper • 2405.08344 • Published • 15