Alternatives and similar repositories for CAPTURE

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

• 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"
  ☆203Updated last year
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆100Updated 2 years ago
• OpenGVLab / MMIU
  [ICLR2025] MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
  ☆94Updated last year
• patrick-tssn / VideoHallucer
  VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)
  ☆42Updated last month
• Liuziyu77 / MMDU
  Official repository of MMDU dataset
  ☆103Updated last year
• bronyayang / Law_of_Vision_Representation_in_MLLMs
  [COLM'25] Official implementation of the Law of Vision Representation in MLLMs
  ☆176Updated 4 months ago
• HJYao00 / DenseConnector
  【NeurIPS 2024】Dense Connector for MLLMs
  ☆180Updated last year
• Yangyi-Chen / SOLO
  [TMLR] Public code repo for paper "A Single Transformer for Scalable Vision-Language Modeling"
  ☆147Updated last year
• alibaba / conv-llava
  ☆124Updated last year
• foundation-multimodal-models / CAL
  [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
  ☆58Updated last year
• XMUDeepLIT / LLaVE
  LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
  ☆75Updated 8 months ago
• BAAI-DCAI / DataOptim
  A collection of visual instruction tuning datasets.
  ☆76Updated last year
• X2FD / LVIS-INSTRUCT4V
  ☆133Updated 2 years ago
• imagegridworth / IG-VLM
  ☆138Updated last year
• RifleZhang / LLaVA-Reasoner-DPO
  ☆110Updated last year
• palchenli / VL-Instruction-Tuning
  ☆92Updated 2 years ago
• LALBJ / PAI
  [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
  ☆162Updated last year
• HKUST-LongGroup / CoMM
  Official repository for CoMM Dataset
  ☆49Updated last year
• yuecao0119 / MMInstruct
  [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…
  ☆62Updated last year
• RifleZhang / LLaVA-Hound-DPO
  ☆155Updated last year
• AoiDragon / POPE
  [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆105Updated 5 months ago
• OpenGVLab / MMT-Bench
  [ICML 2024] | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
  ☆116Updated last year
• MME-Benchmarks / MME-RealWorld
  ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
  ☆151Updated 3 months ago
• llyx97 / TempCompass
  [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …
  ☆128Updated 10 months ago
• findalexli / mllm-dpo
  [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model
  ☆47Updated last year
• baaivision / DenseFusion
  DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
  ☆159Updated last year
• Liuziyu77 / MIA-DPO
  Official implement of MIA-DPO
  ☆70Updated last year
• yonseivnl / vlm-rlaif
  ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback
  ☆76Updated last year
• AFeng-x / Draw-and-Understand
  [ICLR2025] Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
  ☆93Updated 2 months ago
• pipilurj / bootstrapped-preference-optimization-BPO
  code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"
  ☆60Updated last year