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20232026
most citedI2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

22 citations · 50 across the 22 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion

Haonan Qiu, Shiwei Zhang, Yujie Wei +5

Visual diffusion models achieve remarkable progress, yet they are typically trained at limited resolutions due to the lack of high-resolution data and constrained computation resou…

cs.CV2024

PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation

Hengjia Li, Haonan Qiu, Shiwei Zhang +6

The current text-to-video (T2V) generation has made significant progress in synthesizing realistic general videos, but it is still under-explored in identity-specific human video g…

cs.CV2024

DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control

Yujie Wei, Shiwei Zhang, Hangjie Yuan +9

Recent advances in customized video generation have enabled users to create videos tailored to both specific subjects and motion trajectories. However, existing methods often requi…

cs.CV2024★ 1 cited

EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models

Rui Zhao, Hangjie Yuan, Yujie Wei +8

Recent advancements in generation models have showcased remarkable capabilities in generating fantastic content. However, most of them are trained on proprietary high-quality data,…

cs.CV2024

Animate-X: Universal Character Image Animation with Enhanced Motion Representation

Shuai Tan, Biao Gong, Xiang Wang +6

Character image animation, which generates high-quality videos from a reference image and target pose sequence, has seen significant progress in recent years. However, most existin…

cs.CV2024★ 3 cited

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Huaxin Zhang, Xiaohao Xu, Xiang Wang +6

Towards open-ended Video Anomaly Detection (VAD), existing methods often exhibit biased detection when faced with challenging or unseen events and lack interpretability. To address…

cs.CV2024★ 1 cited

UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation

Xiang Wang, Shiwei Zhang, Changxin Gao +5

Recent diffusion-based human image animation techniques have demonstrated impressive success in synthesizing videos that faithfully follow a given reference identity and a sequence…

cs.CV2024★ 2 cited

GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection

Huaxin Zhang, Xiang Wang, Xiaohao Xu +6

In recent years, video anomaly detection has been extensively investigated in both unsupervised and weakly supervised settings to alleviate costly temporal labeling. Despite signif…