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

22 citations · 66 across the 24 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★ 3 cited

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Feng Liu, Shiwei Zhang, Xiaofeng Wang +6

As a fundamental backbone for video generation, diffusion models are challenged by low inference speed due to the sequential nature of denoising. Previous methods speed up the mode…

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

FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing

Lingling Cai, Kang Zhao, Hangjie Yuan +3

Text-to-video diffusion models have made remarkable advancements. Driven by their ability to generate temporally coherent videos, research on zero-shot video editing using these fu…

cs.CV2024

Replace Anyone in Videos

Xiang Wang, Shiwei Zhang, Haonan Qiu +7

The field of controllable human-centric video generation has witnessed remarkable progress, particularly with the advent of diffusion models. However, achieving precise and localiz…

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…