3 citations · 4 across the 8 of their papers we have counts for
8 papers · 1 filter
LightMover: Generative Light Movement with Color and Intensity Controls
Gengze Zhou, Tianyu Wang, Soo Ye Kim +7
We present LightMover, a framework for controllable light manipulation in single images that leverages video diffusion priors to produce physically plausible illumination changes w…
Multitwine: Multi-Object Compositing with Text and Layout Control
Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang +4
We introduce the first generative model capable of simultaneous multi-object compositing, guided by both text and layout. Our model allows for the addition of multiple objects with…
MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis
Tianyu Wang, Jianming Zhang, Haitian Zheng +7
Shadows are often under-considered or even ignored in image editing applications, limiting the realism of the edited results. In this paper, we introduce MetaShadow, a three-in-one…
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
Yizhi Song, Liu He, Zhifei Zhang +8
Personalized image generation has emerged from the recent advancements in generative models. However, these generated personalized images often suffer from localized artifacts such…
Generative Image Layer Decomposition with Visual Effects
Jinrui Yang, Qing Liu, Yijun Li +7
Recent advancements in large generative models, particularly diffusion-based methods, have significantly enhanced the capabilities of image editing. However, achieving precise cont…
Thinking Outside the BBox: Unconstrained Generative Object Compositing
Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang +6
Compositing an object into an image involves multiple non-trivial sub-tasks such as object placement and scaling, color/lighting harmonization, viewpoint/geometry adjustment, and s…
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
Yizhi Song, Zhifei Zhang, Zhe Lin +7
Generative object compositing emerges as a promising new avenue for compositional image editing. However, the requirement of object identity preservation poses a significant challe…
Latent Feature-Guided Diffusion Models for Shadow Removal
Kangfu Mei, Luis Figueroa, Zhe Lin +3
Recovering textures under shadows has remained a challenging problem due to the difficulty of inferring shadow-free scenes from shadow images. In this paper, we propose the use of…