3 papers
cs.CV2026
ImageRAGTurbo: Towards One-step Text-to-Image Generation with Retrieval-Augmented Diffusion Models
Peijie Qiu, Hariharan Ramshankar, Arnau Ramisa +4
Diffusion models have emerged as the leading approach for text-to-image generation. However, their iterative sampling process, which gradually morphs random noise into coherent ima…
cs.CV2025
Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes
Kelly O. Marshall, Omid Poursaeed, Sergiu Oprea +5
3D indoor scene generation is an important problem for the design of digital and real-world environments. To automate this process, a scene generation model should be able to not o…
cs.CV2024
TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans
Aggelina Chatziagapi, Bindita Chaudhuri, Amit Kumar +3
We introduce a novel framework that learns a dynamic neural radiance field (NeRF) for full-body talking humans from monocular videos. Prior work represents only the body pose or th…