4 citations · 5 across the 10 of their papers we have counts for
8 papers · 1 filter
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…
Stratified Multi-View Aggregation for Score Distillation
Marian Lupascu, Mihai-Sorin Stupariu, Mihai Sorin Stupariu +2
Score distillation turns a pretrained 2D diffusion model into a 3D generator, but the per-step gradient is estimated from a single random view: this one-sample estimate has high va…
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…
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…
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…
A Fast Deep Learning Network for Automatic Image Auto-Straightening
Ionut Mironica, Andrei Zugravu
Rectifying the orientation of images represents a daily task for every photographer. This task may be complicated even for the human eye, especially when the horizon or other horiz…
A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal
Ionuţ Mironică
Retouching can significantly elevate the visual appeal of photos, but many casual photographers lack the expertise to operate in a professional manner. One particularly challenging…