XMUDeepLIT / AVG-LLaVALinks
Code for "AVG-LLaVA: A Multimodal Large Model with Adaptive Visual Granularity"
☆33Updated last year
Alternatives and similar repositories for AVG-LLaVA
Users that are interested in AVG-LLaVA are comparing it to the libraries listed below
Sorting:
- ☆36Updated last year
- Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment☆64Updated 5 months ago
- Emergent Visual Grounding in Large Multimodal Models Without Grounding Supervision☆42Updated 2 months ago
- Official implement of MIA-DPO☆70Updated 11 months ago
- [ICLR2025] MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models☆93Updated last year
- [ICCV 2025] Dynamic-VLM☆28Updated last year
- FreeVA: Offline MLLM as Training-Free Video Assistant☆68Updated last year
- ☆80Updated 6 months ago
- Code for "CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning"☆32Updated 9 months ago
- [CVPR'2025] VoCo-LLaMA: This repo is the official implementation of "VoCo-LLaMA: Towards Vision Compression with Large Language Models".☆203Updated 7 months ago
- [NeurIPS-24] This is the official implementation of the paper "DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effect…☆77Updated last year
- ☆124Updated last year
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆62Updated last year
- ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback☆76Updated last year
- Official Repository of Personalized Visual Instruct Tuning☆33Updated 10 months ago
- [ECCV 2024] Elysium: Exploring Object-level Perception in Videos via MLLM☆86Updated last year
- [CVPR 2024] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"☆50Updated 7 months ago
- ☆29Updated 5 months ago
- [COLM'25] Official implementation of the Law of Vision Representation in MLLMs☆173Updated 3 months ago
- ☆32Updated last year
- 【NeurIPS 2024】Dense Connector for MLLMs☆180Updated last year
- Matryoshka Multimodal Models☆121Updated 11 months ago
- [NeurIPS 2025] The official repository of "Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tun…☆39Updated 10 months ago
- [ICLR 2025] AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark☆137Updated 7 months ago
- [ICCV 2025] Official code for "AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning"☆50Updated 3 months ago
- Official implementation of "Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology"☆72Updated 2 months ago
- [ECCV 2024] ControlCap: Controllable Region-level Captioning☆80Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆66Updated 7 months ago
- [CVPR 2025 Oral] VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection☆132Updated 5 months ago
- [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context☆169Updated last year