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20232025
most citedStableVideo: Text-driven Consistency-aware Diffusion Video Editing

5 citations · 7 across the 6 of their papers we have counts for

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cs.CV2025

ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models

Chuangchuang Tan, Jinglu Wang, Xiang Ming +4

Advances in generative models have led to AI-generated images visually indistinguishable from authentic ones. Despite numerous studies on detecting AI-generated images with classif…

cs.CV2025

SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation

Hao Du, Bo Wu, Yan Lu +1

Vision-language temporal alignment is a crucial capability for human dynamic recognition and cognition in real-world scenarios. While existing research focuses on capturing vision-…

cs.CV2024

Uncertainty-Aware Deep Video Compression with Ensembles

Wufei Ma, Jiahao Li, Bin Li +1

Deep learning-based video compression is a challenging task, and many previous state-of-the-art learning-based video codecs use optical flows to exploit the temporal correlation be…

cs.CV2023

Efficient View Synthesis with Neural Radiance Distribution Field

Yushuang Wu, Xiao Li, Jinglu Wang +3

Recent work on Neural Radiance Fields (NeRF) has demonstrated significant advances in high-quality view synthesis. A major limitation of NeRF is its low rendering efficiency due to…

cs.CV20235 cited

StableVideo: Text-driven Consistency-aware Diffusion Video Editing

Wenhao Chai, Xun Guo, Gaoang Wang +1

Diffusion-based methods can generate realistic images and videos, but they struggle to edit existing objects in a video while preserving their appearance over time. This prevents d…