Alternatives and similar repositories for DART

Users that are interested in DART are comparing it to the libraries listed below

• lzhxmu / VTW
  Code release for VTW (AAAI 2025) Oral
  ☆43Updated 4 months ago
• ywh187 / FitPrune
  ☆46Updated last month
• Theia-4869 / FasterVLM
  Official code for paper: [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.
  ☆76Updated 5 months ago
• Cooperx521 / PyramidDrop
  (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
  ☆105Updated 2 months ago
• Gumpest / SparseVLMs
  [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".
  ☆112Updated 2 weeks ago
• yu-rp / VisualPerceptionToken
  ☆84Updated 2 months ago
• JinXins / Awesome-Token-Merge-for-MLLMs
  A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.
  ☆61Updated 4 months ago
• Osilly / dynamic_llava
  [ICLR 2025] The official pytorch implement of "Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Cont…
  ☆40Updated 6 months ago
• Wild-Cooperation-Hub / Awesome-MLLM-Reasoning-Benchmarks
  A Comprehensive Survey on Evaluating Reasoning Capabilities in Multimodal Large Language Models.
  ☆62Updated 2 months ago
• MME-Benchmarks / MME-RealWorld
  ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
  ☆122Updated 3 months ago
• hasanar1f / HiRED
  [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…
  ☆36Updated last month
• ncTimTang / AKS
  [CVPR 2025] Adaptive Keyframe Sampling for Long Video Understanding
  ☆64Updated last month
• SUSTechBruce / LOOK-M
  [EMNLP 2024 Findings🔥] Official implementation of ": LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context In…
  ☆97Updated 6 months ago
• KD-TAO / DyCoke
  [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
  ☆48Updated this week
• liuting20 / MustDrop
  Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model
  ☆30Updated 4 months ago
• saccharomycetes / mllms_know
  [ICLR'25] Official code for the paper 'MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs'
  ☆203Updated last month
• xuyang-liu16 / Awesome-Token-level-Model-Compression
  📚 Collection of token-level model compression resources.
  ☆98Updated this week
• 42Shawn / LLaVA-PruMerge
  LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
  ☆130Updated last year
• RupertLuo / VoCoT
  VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
  ☆63Updated 10 months ago
• thu-nics / FrameFusion
  The official code implementation of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"
  ☆40Updated last week
• IDEA-FinAI / ChartMoE
  [ICLR2025 Oral] ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
  ☆84Updated 2 months ago
• DreamMr / HR-Bench
  PyTorch Implementation of "Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Larg…
  ☆22Updated 3 weeks ago
• mrwu-mac / ControlMLLM
  [NeurIPS2024] Repo for the paper `ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models'
  ☆172Updated last week
• 1zhou-Wang / MemVR
  [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…
  ☆120Updated last week
• ZhangXJ199 / TinyLLaVA-Video-R1
  TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
  ☆72Updated 2 weeks ago
• shufangxun / LLaVA-MoD
  [ICLR 2025] LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation
  ☆164Updated 2 months ago
• Fantasyele / LLaVA-KD
  ☆78Updated 6 months ago
• minglllli / CLS-RL
  Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-Tuning
  ☆44Updated 2 weeks ago
• MMStar-Benchmark / MMStar
  [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
  ☆181Updated 8 months ago
• jungao1106 / ICoT
  [CVPR' 25] Interleaved-Modal Chain-of-Thought
  ☆45Updated last month