5 papers
SpatialDiff: 3D-Aware Object Movement via Implicit Spatial Modeling
Zheng Liu, Zijian He, Huiguo He +5
Recent advances in image editing allow impressive manipulation of objects, existing methods still struggle to handle spatial movement in complex scenes, such as objects span differ…
Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter
Weizhi Zhong, Huan Yang, Zheng Liu +5
Personalized text-to-image generation aims to synthesize images of user-provided concepts in diverse contexts. Despite recent progress in multi-concept personalization, most are li…
P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling
Pinyi Zhang, Ting-En Lin, Yuchuan Wu +7
Personalized alignment of large language models seeks to adapt responses to individual user preferences, typically via reinforcement learning. A key challenge is obtaining accurate…
SEGA: A Stepwise Evolution Paradigm for Content-Aware Layout Generation with Design Prior
Haoran Wang, Bo Zhao, Jinghui Wang +5
In this paper, we study the content-aware layout generation problem, which aims to automatically generate layouts that are harmonious with a given background image. Existing method…
Accelerating Video Diffusion Models via Distribution Matching
Yuanzhi Zhu, Hanshu Yan, Huan Yang +2
Generative models, particularly diffusion models, have made significant success in data synthesis across various modalities, including images, videos, and 3D assets. However, curre…