Collections
Discover the best community collections!
Collections including paper arxiv:2403.15377
-
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 23 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 77 -
DragAnything: Motion Control for Anything using Entity Representation
Paper • 2403.07420 • Published • 15 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 33
-
Video as the New Language for Real-World Decision Making
Paper • 2402.17139 • Published • 21 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 33 -
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies
Paper • 2403.01422 • Published • 29 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 21
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
PEEKABOO: Interactive Video Generation via Masked-Diffusion
Paper • 2312.07509 • Published • 12 -
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Paper • 2403.14773 • Published • 11 -
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding
Paper • 2403.15377 • Published • 26 -
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
Paper • 2403.14148 • Published • 21
-
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 37 -
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
Paper • 2403.11481 • Published • 13 -
VideoMamba: State Space Model for Efficient Video Understanding
Paper • 2403.06977 • Published • 30 -
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies
Paper • 2403.01422 • Published • 29
-
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 21 -
ImageBind: One Embedding Space To Bind Them All
Paper • 2305.05665 • Published • 6 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 189 -
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
Paper • 2206.02770 • Published • 4
-
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Paper • 2402.17485 • Published • 195 -
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding
Paper • 2403.15377 • Published • 26 -
nvidia/parakeet-tdt-0.6b-v2
Automatic Speech Recognition • Updated • 3.68M • 1.37k -
google/gemma-3n-E4B-it-litert-preview
Image-Text-to-Text • Updated • 1.48k
-
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
Paper • 2401.04468 • Published • 49 -
Anything in Any Scene: Photorealistic Video Object Insertion
Paper • 2401.17509 • Published • 17 -
Memory Consolidation Enables Long-Context Video Understanding
Paper • 2402.05861 • Published • 10 -
Magic-Me: Identity-Specific Video Customized Diffusion
Paper • 2402.09368 • Published • 30
-
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 37 -
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
Paper • 2403.11481 • Published • 13 -
VideoMamba: State Space Model for Efficient Video Understanding
Paper • 2403.06977 • Published • 30 -
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies
Paper • 2403.01422 • Published • 29
-
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 23 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 77 -
DragAnything: Motion Control for Anything using Entity Representation
Paper • 2403.07420 • Published • 15 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 33
-
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 21 -
ImageBind: One Embedding Space To Bind Them All
Paper • 2305.05665 • Published • 6 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 189 -
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
Paper • 2206.02770 • Published • 4
-
Video as the New Language for Real-World Decision Making
Paper • 2402.17139 • Published • 21 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 33 -
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies
Paper • 2403.01422 • Published • 29 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 21
-
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Paper • 2402.17485 • Published • 195 -
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding
Paper • 2403.15377 • Published • 26 -
nvidia/parakeet-tdt-0.6b-v2
Automatic Speech Recognition • Updated • 3.68M • 1.37k -
google/gemma-3n-E4B-it-litert-preview
Image-Text-to-Text • Updated • 1.48k
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
Paper • 2401.04468 • Published • 49 -
Anything in Any Scene: Photorealistic Video Object Insertion
Paper • 2401.17509 • Published • 17 -
Memory Consolidation Enables Long-Context Video Understanding
Paper • 2402.05861 • Published • 10 -
Magic-Me: Identity-Specific Video Customized Diffusion
Paper • 2402.09368 • Published • 30
-
PEEKABOO: Interactive Video Generation via Masked-Diffusion
Paper • 2312.07509 • Published • 12 -
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Paper • 2403.14773 • Published • 11 -
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding
Paper • 2403.15377 • Published • 26 -
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
Paper • 2403.14148 • Published • 21