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20232026
most citedGPT-4V(ision) as A Social Media Analysis Engine

4 citations · 14 across the 17 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024★ 1 cited

Identity-Preserving Text-to-Video Generation by Frequency Decomposition

Shenghai Yuan, Jinfa Huang, Xianyi He +5

Identity-preserving text-to-video (IPT2V) generation aims to create high-fidelity videos with consistent human identity. It is an important task in video generation but remains an…

cs.CV2024

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

Yongdong Luo, Xiawu Zheng, Guilin Li +8

Existing large video-language models (LVLMs) struggle to comprehend long videos correctly due to limited context. To address this problem, fine-tuning long-context LVLMs and employ…

cs.CV2024★ 3 cited

Autoregressive Models in Vision: A Survey

Jing Xiong, Gongye Liu, Lun Huang +17

Autoregressive modeling has been a huge success in the field of natural language processing (NLP). Recently, autoregressive models have emerged as a significant area of focus in co…

cs.CL2024

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection

Jinfa Huang, Jinsheng Pan, Zhongwei Wan +2

Recent advances show that two-stream approaches have achieved outstanding performance in hateful meme detection. However, hateful memes constantly evolve as new memes emerge by fus…

cs.CL2024

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference

Zhongwei Wan, Ziang Wu, Che Liu +5

Long-context Multimodal Large Language Models (MLLMs) demand substantial computational resources for inference as the growth of their multimodal Key-Value (KV) cache, in response t…

cs.CV2024★ 1 cited

ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation

Shenghai Yuan, Jinfa Huang, Yongqi Xu +7

We propose a novel text-to-video (T2V) generation benchmark, ChronoMagic-Bench, to evaluate the temporal and metamorphic capabilities of the T2V models (e.g. Sora and Lumiere) in t…

cs.CV2024★ 2 cited

MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators

Shenghai Yuan, Jinfa Huang, Yujun Shi +6

Recent advances in Text-to-Video generation (T2V) have achieved remarkable success in synthesizing high-quality general videos from textual descriptions. A largely overlooked probl…

cs.CV2024★ 3 cited

Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach

Shaofeng Zhang, Jinfa Huang, Qiang Zhou +4

Image outpainting aims to generate the content of an input sub-image beyond its original boundaries. It is an important task in content generation yet remains an open problem for g…