Showing cs.CVShow all
3 papers · 1 filter
cs.CV2025
Query-Kontext: An Unified Multimodal Model for Image Generation and Editing
Yuxin Song, Wenkai Dong, Shizun Wang +8
Unified Multimodal Models (UMMs) have demonstrated remarkable performance in text-to-image generation (T2I) and editing (TI2I), whether instantiated as assembled unified frameworks…
cs.CV2025
Unified Multimodal Models as Auto-Encoders
Zhiyuan Yan, Kaiqing Lin, Zongjian Li +10
Image-to-text (I2T) understanding and text-to-image (T2I) generation are two fundamental, important yet traditionally isolated multimodal tasks. Despite their intrinsic connection,…
cs.CV2024
MonoFormer: One Transformer for Both Diffusion and Autoregression
Chuyang Zhao, Yuxing Song, Wenhao Wang +5
Most existing multimodality methods use separate backbones for autoregression-based discrete text generation and diffusion-based continuous visual generation, or the same backbone…