9 citations · 9 across the 7 of their papers we have counts for
8 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…
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…
Optimal Transport for Rectified Flow Image Editing: Unifying Inversion-Based and Direct Methods
Marian Lupascu, Mihai-Sorin Stupariu
Image editing in rectified flow models remains challenging due to the fundamental trade-off between reconstruction fidelity and editing flexibility. While inversion-based methods s…
UniBERT: Adversarial Training for Language-Universal Representations
Andrei-Marius Avram, Marian Lupaşcu, Dumitru-Clementin Cercel +2
This paper presents UniBERT, a compact multilingual language model that uses an innovative training framework that integrates three components: masked language modeling, adversaria…
Large Multimodal Models for Low-Resource Languages: A Survey
Marian Lupascu, Ana-Cristina Rogoz, Mihai Sorin Stupariu +1
In this survey, we systematically analyze techniques used to adapt large multimodal models (LMMs) for low-resource (LR) languages, examining approaches ranging from visual enhancem…
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…