Benchmarking and Improving Detail Image Caption
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Hongyuan, Li, Jiawen, Wu, Bohong, Wang, Jiacong, Zhang, Yuan, Guo, Haoyuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
by: Wang, Jiacong, et al.
Published: (2024)
by: Wang, Jiacong, et al.
Published: (2024)
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
by: Xiao, Xin, et al.
Published: (2024)
by: Xiao, Xin, et al.
Published: (2024)
Unveiling the Tapestry of Consistency in Large Vision-Language Models
by: Zhang, Yuan, et al.
Published: (2024)
by: Zhang, Yuan, et al.
Published: (2024)
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning
by: Ye, Qinghao, et al.
Published: (2025)
by: Ye, Qinghao, et al.
Published: (2025)
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
by: Wu, Peiran, et al.
Published: (2025)
by: Wu, Peiran, et al.
Published: (2025)
Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation
by: Wang, Xinran, et al.
Published: (2025)
by: Wang, Xinran, et al.
Published: (2025)
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
by: Cheng, Kanzhi, et al.
Published: (2025)
by: Cheng, Kanzhi, et al.
Published: (2025)
DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions
by: Wang, Xinran, et al.
Published: (2026)
by: Wang, Xinran, et al.
Published: (2026)
SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning
by: Zhang, Lin, et al.
Published: (2025)
by: Zhang, Lin, et al.
Published: (2025)
The Devil is in the EOS: Sequence Training for Detailed Image Captioning
by: Mohamed, Abdelrahman, et al.
Published: (2025)
by: Mohamed, Abdelrahman, et al.
Published: (2025)
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
by: Chai, Wenhao, et al.
Published: (2024)
by: Chai, Wenhao, et al.
Published: (2024)
Describe Anything: Detailed Localized Image and Video Captioning
by: Lian, Long, et al.
Published: (2025)
by: Lian, Long, et al.
Published: (2025)
ReflectCAP: Detailed Image Captioning with Reflective Memory
by: Min, Kyungmin, et al.
Published: (2026)
by: Min, Kyungmin, et al.
Published: (2026)
Generating Accurate and Detailed Captions for High-Resolution Images
by: Lee, Hankyeol, et al.
Published: (2025)
by: Lee, Hankyeol, et al.
Published: (2025)
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning
by: Gaur, Manu, et al.
Published: (2024)
by: Gaur, Manu, et al.
Published: (2024)
Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed Perception
by: Ma, Ziyang, et al.
Published: (2025)
by: Ma, Ziyang, et al.
Published: (2025)
DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World
by: Li, Xiangtai, et al.
Published: (2025)
by: Li, Xiangtai, et al.
Published: (2025)
Cockatiel: Ensembling Synthetic and Human Preferenced Training for Detailed Video Caption
by: Qin, Luozheng, et al.
Published: (2025)
by: Qin, Luozheng, et al.
Published: (2025)
VGR: Visual Grounded Reasoning
by: Wang, Jiacong, et al.
Published: (2025)
by: Wang, Jiacong, et al.
Published: (2025)
UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?
by: Liu, Yuanxin, et al.
Published: (2025)
by: Liu, Yuanxin, et al.
Published: (2025)
SynPO: Synergizing Descriptiveness and Preference Optimization for Video Detailed Captioning
by: Dang, Jisheng, et al.
Published: (2025)
by: Dang, Jisheng, et al.
Published: (2025)
DetailCLIP: Injecting Image Details into CLIP's Feature Space
by: Zhang, Zilun, et al.
Published: (2022)
by: Zhang, Zilun, et al.
Published: (2022)
OmniDiff: A Comprehensive Benchmark for Fine-grained Image Difference Captioning
by: Liu, Yuan, et al.
Published: (2025)
by: Liu, Yuan, et al.
Published: (2025)
Improving Text Generation on Images with Synthetic Captions
by: Koh, Jun Young, et al.
Published: (2024)
by: Koh, Jun Young, et al.
Published: (2024)
OwlCap: Harmonizing Motion-Detail for Video Captioning via HMD-270K and Caption Set Equivalence Reward
by: Zhong, Chunlin, et al.
Published: (2025)
by: Zhong, Chunlin, et al.
Published: (2025)
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?
by: Feng, Mingqian, et al.
Published: (2024)
by: Feng, Mingqian, et al.
Published: (2024)
A Benchmark for Multi-Lingual Vision-Language Learning in Remote Sensing Image Captioning
by: Zhou, Qing, et al.
Published: (2025)
by: Zhou, Qing, et al.
Published: (2025)
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
by: Li, Yuheng, et al.
Published: (2024)
by: Li, Yuheng, et al.
Published: (2024)
DetailFlow: 1D Coarse-to-Fine Autoregressive Image Generation via Next-Detail Prediction
by: Liu, Yiheng, et al.
Published: (2025)
by: Liu, Yiheng, et al.
Published: (2025)
MUNIChus: Multilingual News Image Captioning Benchmark
by: Chen, Yuji, et al.
Published: (2026)
by: Chen, Yuji, et al.
Published: (2026)
Captioning Daily Activity Images in Early Childhood Education: Benchmark and Algorithm
by: Li, Sixing, et al.
Published: (2026)
by: Li, Sixing, et al.
Published: (2026)
Evaluating Image Caption via Cycle-consistent Text-to-Image Generation
by: Cui, Tianyu, et al.
Published: (2025)
by: Cui, Tianyu, et al.
Published: (2025)
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
by: Ge, Yunhao, et al.
Published: (2024)
by: Ge, Yunhao, et al.
Published: (2024)
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
by: Kolouju, Pranavi, et al.
Published: (2025)
by: Kolouju, Pranavi, et al.
Published: (2025)
SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement
by: Yin, Weijie, et al.
Published: (2025)
by: Yin, Weijie, et al.
Published: (2025)
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
by: Chen, Lin, et al.
Published: (2024)
by: Chen, Lin, et al.
Published: (2024)
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
by: Lee, Saehyung, et al.
Published: (2024)
by: Lee, Saehyung, et al.
Published: (2024)
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization
by: Park, Kyungri, et al.
Published: (2024)
by: Park, Kyungri, et al.
Published: (2024)
AGIC: Attention-Guided Image Captioning to Improve Caption Relevance
by: Teja, L. D. M. S. Sai, et al.
Published: (2025)
by: Teja, L. D. M. S. Sai, et al.
Published: (2025)
HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning
by: Saito, Kuniaki, et al.
Published: (2026)
by: Saito, Kuniaki, et al.
Published: (2026)
Similar Items
-
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
by: Wang, Jiacong, et al.
Published: (2024) -
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
by: Xiao, Xin, et al.
Published: (2024) -
Unveiling the Tapestry of Consistency in Large Vision-Language Models
by: Zhang, Yuan, et al.
Published: (2024) -
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning
by: Ye, Qinghao, et al.
Published: (2025) -
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
by: Wu, Peiran, et al.
Published: (2025)