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20242026
most citedMotion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

1 citations · 4 across the 15 of their papers we have counts for

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Showing 2024 · cs.CVShow all

5 papers · 2 filters

cs.CV2024★ 1 cited

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting

Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung +3

3D Gaussian Splatting (3DGS) has become a crucial method for acquiring 3D assets. To protect the copyright of these assets, digital watermarking techniques can be applied to embed…

cs.CV2024

Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images

Qi Song, Ziyuan Luo, Ka Chun Cheung +2

Single-view 3D reconstruction methods like Triplane Gaussian Splatting (TGS) have enabled high-quality 3D model generation from just a single image input within seconds. However, t…

cs.CV2024

GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields

Xiufeng Huang, Ka Chun Cheung, Simon See +1

Remarkable advancements in the recolorization of Neural Radiance Fields (NeRF) have simplified the process of modifying NeRF's color attributes. Yet, with the potential of NeRF to…

cs.CV2024

Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model

Qi Song, Ziyuan Luo, Ka Chun Cheung +2

Neural Radiance Fields (NeRFs) have become a key method for 3D scene representation. With the rising prominence and influence of NeRF, safeguarding its intellectual property has be…

cs.CV2024★ 1 cited

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang +9

We introduce Motion-I2V, a novel framework for consistent and controllable image-to-video generation (I2V). In contrast to previous methods that directly learn the complicated imag…