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Collections including paper arxiv:2501.03895

about 8 hours ago

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5, 2025
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 133

ML Optimization Papers

FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16, 2025 • 28
Tensor Product Attention Is All You Need

Paper • 2501.06425 • Published Jan 11, 2025 • 90
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training

Paper • 2501.06842 • Published Jan 12, 2025 • 16
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52

Multimodal models

Papers on AI models that combine vision and language capabilities.

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Paper • 2501.06186 • Published Jan 10, 2025 • 65
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

Paper • 2501.09012 • Published Jan 15, 2025 • 10

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7, 2025 • 47
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Paper • 2501.04003 • Published Jan 7, 2025 • 27
VideoRAG: Retrieval-Augmented Generation over Video Corpus

Paper • 2501.05874 • Published Jan 10, 2025 • 75

about 13 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

Exploring the Potential of Encoder-free Architectures in 3D LMMs

Paper • 2502.09620 • Published Feb 13, 2025 • 26
The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5, 2025

Multimodal-Models

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52

Image-Video General Tasks

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7, 2025 • 47
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52
An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published Jan 9, 2025 • 41
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13, 2025 • 7

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 189

about 8 hours ago

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

about 13 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5, 2025
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 133

Exploring the Potential of Encoder-free Architectures in 3D LMMs

Paper • 2502.09620 • Published Feb 13, 2025 • 26
The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5, 2025

ML Optimization Papers

FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16, 2025 • 28
Tensor Product Attention Is All You Need

Paper • 2501.06425 • Published Jan 11, 2025 • 90
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training

Paper • 2501.06842 • Published Jan 12, 2025 • 16
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52

Multimodal-Models

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52

Multimodal models

Papers on AI models that combine vision and language capabilities.

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Paper • 2501.06186 • Published Jan 10, 2025 • 65
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

Paper • 2501.09012 • Published Jan 15, 2025 • 10

Image-Video General Tasks

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7, 2025 • 47
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52
An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published Jan 9, 2025 • 41
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13, 2025 • 7

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7, 2025 • 47
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Paper • 2501.04003 • Published Jan 7, 2025 • 27
VideoRAG: Retrieval-Augmented Generation over Video Corpus

Paper • 2501.05874 • Published Jan 10, 2025 • 75

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7, 2025 • 52
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 189

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