most citedCamI2V: Camera-Controlled Image-to-Video Diffusion Model

2 citations · 3 across the 4 of their papers we have counts for

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cs.CV2025

RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control

Teng Li, Guangcong Zheng, Rui Jiang +9

Recent advancements in camera-trajectory-guided image-to-video generation offer higher precision and better support for complex camera control compared to text-based approaches. Ho…

cs.CV2024★ 1 cited

VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models

Tao Wu, Yong Zhang, Xiaodong Cun +6

Zero-shot customized video generation has gained significant attention due to its substantial application potential. Existing methods rely on additional models to extract and injec…

cs.CV2024★ 2 cited

CamI2V: Camera-Controlled Image-to-Video Diffusion Model

Guangcong Zheng, Teng Li, Rui Jiang +3

Recent advancements have integrated camera pose as a user-friendly and physics-informed condition in video diffusion models, enabling precise camera control. In this paper, we iden…

cs.CV2024

CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities

Tao Wu, Yong Zhang, Xintao Wang +5

Customized video generation aims to generate high-quality videos guided by text prompts and subject's reference images. However, since it is only trained on static images, the fine…

cs.CV2024

SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model

Tao Wu, Xuewei Li, Zhongang Qi +4

Controllable spherical panoramic image generation holds substantial applicative potential across a variety of domains.However, it remains a challenging task due to the inherent sph…