Building a Foundational Guardrail for General Agentic Systems via Synthetic Data Paper • 2510.09781 • Published 11 days ago • 26
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting Paper • 2504.05541 • Published Apr 7 • 15
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report Paper • 2504.10686 • Published Apr 14
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Paper • 2505.19415 • Published May 26 • 2
MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness Paper • 2505.20426 • Published May 26 • 7
Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models Paper • 2510.05034 • Published 15 days ago • 44
VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? Paper • 2411.10979 • Published Nov 17, 2024
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity Paper • 2411.15411 • Published Nov 23, 2024 • 8
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3 Paper • 2211.09699 • Published Nov 15, 2022 • 2
V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning Paper • 2404.12353 • Published Apr 18, 2024
Emo-Avatar: Efficient Monocular Video Style Avatar through Texture Rendering Paper • 2402.00827 • Published Feb 1, 2024 • 2
VideoXum: Cross-modal Visual and Textural Summarization of Videos Paper • 2303.12060 • Published Mar 21, 2023
MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models Paper • 2410.09733 • Published Oct 13, 2024 • 9