6 papers
LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models
Marian Lupascu, Sebastian Ripa, Mihai Trascau +2
Personalizing text-to-image diffusion models to render several specific subjects in a coherent image remains challenging: the model must preserve each subject's identity while keep…
Variance Reduction on the Camera Axis: Multi-View Score Distillation for 3D
Marian Lupascu, Mihai Sorin Stupariu, Ionut Mironica
Score distillation turns a pretrained 2D diffusion model into a 3D generator, but the per-step gradient is estimated from a single randomly chosen view: it is high-variance and bli…
FontFusion: Enhancing Generative Text in Diffusion Models with Typographic Conditioning
Marian Lupascu, Nipun Jindal, Ionut Mironica +1
Typography generation in diffusion models faces a persistent trade-off: enabling precise font control typically degrades text legibility, while maintaining readability often sacrif…
LaDe: Unified Multi-Layered Graphic Media Generation and Decomposition
Vlad-Constantin Lungu-Stan, Ionut Mironica, Mariana-Iuliana Georgescu
Media design layer generation enables the creation of fully editable, layered design documents such as posters, flyers, and logos using only natural language prompts. Existing meth…
A Fast Text-Driven Approach for Generating Artistic Content
Marian Lupascu, Ryan Murdock, Ionut Mironica +1
In this work, we propose a complete framework that generates visual art. Unlike previous stylization methods that are not flexible with style parameters (i.e., they allow stylizati…
Neural Contrast: Leveraging Generative Editing for Graphic Design Recommendations
Marian Lupascu, Ionut Mironica, Mihai-Sorin Stupariu
Creating visually appealing composites requires optimizing both text and background for compatibility. Previous methods have focused on simple design strategies, such as changing t…