13 papers
Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes
Minh-Quan Le, Armand Comas, Alexandros Lattas +7
Human cognition does not separate understanding and generation. A teacher at a whiteboard speaks and draws , each modality reshapes the other. In this paper, we…
Archon: A Unified Multimodal Model for Holistic Digital Human Generation
Chong Bao, Shichen Liu, Lijun Yu +9
Digital humans are fundamental to immersive interaction, yet creating a unified model for holistic modalities, including text, audio, motion, and visual content, remains an open ch…
Physical Simulator In-the-Loop Video Generation
Lin Geng Foo, Mark He Huang, Alexandros Lattas +3
Recent advances in diffusion-based video generation have achieved remarkable visual realism but still struggle to obey basic physical laws such as gravity, inertia, and collision.…
Text To 3D Object Generation For Scalable Room Assembly
Sonia Laguna, Alberto Garcia-Garcia, Marie-Julie Rakotosaona +3
Modern machine learning models for scene understanding, such as depth estimation and object tracking, rely on large, high-quality datasets that mimic real-world deployment scenario…
SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models
Stathis Galanakis, Alexandros Lattas, Stylianos Moschoglou +2
Despite recent progress in diffusion models, generating realistic head portraits from novel viewpoints remains a significant challenge. Most current approaches are constrained to l…
Improving face generation quality and prompt following with synthetic captions
Michail Tarasiou, Stylianos Moschoglou, Jiankang Deng +1
Recent advancements in text-to-image generation using diffusion models have significantly improved the quality of generated images and expanded the ability to depict a wide range o…