Alternatives and similar repositories for CAPTURE:

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

• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆63Updated 8 months ago
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆81Updated last year
• vlf-silkie / VLFeedback
  ☆94Updated last year
• yonseivnl / vlm-rlaif
  ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback
  ☆61Updated 5 months ago
• RifleZhang / LLaVA-Reasoner-DPO
  ☆61Updated last month
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆79Updated 9 months ago
• patrick-tssn / VideoHallucer
  VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)
  ☆26Updated 7 months ago
• AoiDragon / POPE
  [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆78Updated 10 months ago
• Liuziyu77 / MMDU
  Official repository of MMDU dataset
  ☆83Updated 4 months ago
• Liuziyu77 / MIA-DPO
  Official implement of MIA-DPO
  ☆49Updated 3 weeks ago
• ys-zong / VL-ICL
  [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
  ☆43Updated 2 weeks ago
• HJYao00 / DenseConnector
  【NeurIPS 2024】Dense Connector for MLLMs
  ☆156Updated 4 months ago
• wusize / F-LMM
  Code Release of F-LMM: Grounding Frozen Large Multimodal Models
  ☆62Updated 6 months ago
• thunlp / Muffin
  ☆59Updated last year
• 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"
  ☆165Updated 4 months ago
• OpenGVLab / MMIU
  [ICLR2025] MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
  ☆61Updated 5 months ago
• zwq2018 / Multi-modal-Self-instruct
  The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…
  ☆71Updated 3 weeks ago
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆43Updated 7 months ago
• bronyayang / Law_of_Vision_Representation_in_MLLMs
  Official implementation of the Law of Vision Representation in MLLMs
  ☆149Updated 3 months ago
• YuxiXie / V-DPO
  Preference Learning for LLaVA
  ☆37Updated 3 months ago
• X2FD / LVIS-INSTRUCT4V
  ☆132Updated last year
• RifleZhang / LLaVA-Hound-DPO
  ☆138Updated 3 months ago
• foundation-multimodal-models / CAL
  [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
  ☆56Updated 4 months ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆68Updated 8 months ago
• yuhui-zh15 / VLMClassifier
  Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)
  ☆70Updated 4 months ago
• Cooperx521 / PyramidDrop
  The official code of the paper "PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction".
  ☆53Updated last month
• ParadoxZW / LLaVA-UHD-Better
  A bug-free and improved implementation of LLaVA-UHD, based on the code from the official repo
  ☆32Updated 6 months ago
• OpenGVLab / MM-NIAH
  [NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of…
  ☆109Updated 2 months ago
• Victorwz / MLM_Filter
  Official implementation of our paper "Finetuned Multimodal Language Models are High-Quality Image-Text Data Filters".
  ☆44Updated last month
• amazon-science / QA-ViT
  ☆64Updated 7 months ago