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Collections including paper arxiv:2404.01297

video llm works

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25 • 35
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15 • 30
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Paper • 2403.09626 • Published Mar 14 • 12

Papers - Decoders - Training Decoding Point Supervision

Streaming Dense Video Captioning

Paper • 2404.01297 • Published Apr 1 • 11

Papers - Video - Streaming - Captions

Streaming Dense Video Captioning

Paper • 2404.01297 • Published Apr 1 • 11

Papers - Video - Captions

Streaming Dense Video Captioning

Paper • 2404.01297 • Published Apr 1 • 11
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25 • 35
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Paper • 2406.04325 • Published Jun 6 • 71

video undertstanding

Streaming Dense Video Captioning

Paper • 2404.01297 • Published Apr 1 • 11

Papers - Google

Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23 • 86
Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27 • 23
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Paper • 2403.18818 • Published Mar 27 • 24
TC4D: Trajectory-Conditioned Text-to-4D Generation

Paper • 2403.17920 • Published Mar 26 • 15

Papers - Video - Streaming

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Paper • 2403.14773 • Published Mar 21 • 9
Streaming Dense Video Captioning

Paper • 2404.01297 • Published Apr 1 • 11

Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18
Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 29
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies

Paper • 2403.01422 • Published Mar 3 • 26
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models

Paper • 2403.05438 • Published Mar 8 • 18

WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Paper • 2401.09985 • Published Jan 18 • 14
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

Paper • 2401.09962 • Published Jan 18 • 7
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution

Paper • 2401.10404 • Published Jan 18 • 10
ActAnywhere: Subject-Aware Video Background Generation

Paper • 2401.10822 • Published Jan 19 • 13

TinyLlama: An Open-Source Small Language Model

Paper • 2401.02385 • Published Jan 4 • 89
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Paper • 2401.01335 • Published Jan 2 • 64
Asynchronous Local-SGD Training for Language Modeling

Paper • 2401.09135 • Published Jan 17 • 9
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Paper • 2404.07143 • Published Apr 10 • 103

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