Cover Image

LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Kechen, Qin, Yihua, Wang, Chongyi, Ma, Wenshuo, Yu, Tianyu, Yao, Yuan
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLaVA-UHD v3: Progressive Visual Compression for Efficient Native-Resolution Encoding in MLLMs
by: Sun, Shichu, et al.
Published: (2025)

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer
by: Zhang, Yipeng, et al.
Published: (2024)

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
by: Xu, Ruyi, et al.
Published: (2024)

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs
by: Lou, Haoran, et al.
Published: (2025)

LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation
by: Shu, Fangxun, et al.
Published: (2024)

Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek
by: Zeer, Ahmed, et al.
Published: (2024)

DF-LLaVA: Unlocking MLLMs for Synthetic Image Detection via Knowledge Injection and Conflict-Driven Self-Reflection
by: Shen, Zhuokang, et al.
Published: (2025)

TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings
by: Yan, Dawei, et al.
Published: (2024)

LLaVA-c: Continual Improved Visual Instruction Tuning
by: Liu, Wenzhuo, et al.
Published: (2025)

LLaVA-SLT: Visual Language Tuning for Sign Language Translation
by: Liang, Han, et al.
Published: (2024)

LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs
by: Chen, Shaoxiang, et al.
Published: (2024)

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
by: Lin, Bin, et al.
Published: (2023)

MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning
by: Zhao, Xiangyu, et al.
Published: (2024)

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer
by: Deng, Jiajun, et al.
Published: (2025)

AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity
by: Lan, Zhibin, et al.
Published: (2024)

LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
by: Jin, Yizhang, et al.
Published: (2024)

LLaVA-OneVision: Easy Visual Task Transfer
by: Li, Bo, et al.
Published: (2024)

NOVO: Bridging LLaVA and SAM with Visual-only Prompts for Reasoning Segmentation
by: Yoon, Kyung-Yoon, et al.
Published: (2025)

LLaVA-Video: Video Instruction Tuning With Synthetic Data
by: Zhang, Yuanhan, et al.
Published: (2024)

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
by: Cai, Mu, et al.
Published: (2023)

Enhance Image-to-Image Generation with LLaVA-generated Prompts
by: Ding, Zhicheng, et al.
Published: (2024)

LLaVA-Critic: Learning to Evaluate Multimodal Models
by: Xiong, Tianyi, et al.
Published: (2024)

LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
by: Xu, Guowei, et al.
Published: (2024)

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
by: Zheng, Pengcheng, et al.
Published: (2026)

Delta-LLaVA: Base-then-Specialize Alignment for Token-Efficient Vision-Language Models
by: Zamini, Mohamad, et al.
Published: (2025)

LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
by: Zhu, Yichen, et al.
Published: (2024)

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
by: Zhang, Shaolei, et al.
Published: (2025)

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
by: Lin, Bin, et al.
Published: (2024)

Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding
by: Sun, Shenghuan, et al.
Published: (2024)

LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval
by: Lu, Weiheng, et al.
Published: (2024)

LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Information
by: Wang, Ke, et al.
Published: (2024)

R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
by: Chen, Xupeng, et al.
Published: (2024)

LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration
by: Inal, Gokce, et al.
Published: (2026)

LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence
by: An, Xiang, et al.
Published: (2026)

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
by: Yuan, Haobo, et al.
Published: (2025)

SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
by: Sun, Guohao, et al.
Published: (2024)

LLaVA-RE: Binary Image-Text Relevancy Evaluation with Multimodal Large Language Model
by: Sun, Tao, et al.
Published: (2025)

LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language Models
by: Wang, Jingyi, et al.
Published: (2024)

LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding
by: Zhou, Hanyu, et al.
Published: (2025)

When LLaVA Meets Objects: Token Composition for Vision-Language-Models
by: Jahagirdar, Soumya, et al.
Published: (2026)