From the 1 of 6 linked papers with an AI index.
6 papers
Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget
Guoxuan Chen, Chufeng Xiao, Haoran Yang +30
Boogu-Image-0.1 is an open-source multimodal model family that supports high-quality text-to-image generation, fast inference, instruction-based image editing, and bilingual (Chine…
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin +47
As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that ma…
InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation
Zhefan Rao, Bin Zou, Haoxuan Che +5
Instruction-based video editing is a natural way to control video content with text, but adapting a video generation model into an editor usually appears data-hungry. At the same t…
Fake it till You Make it: Reward Modeling as Discriminative Prediction
Runtao Liu, Jiahao Zhan, Yingqing He +3
An effective reward model plays a pivotal role in reinforcement learning for post-training enhancement of visual generative models. However, current approaches of reward modeling s…
AlignGuard: Scalable Safety Alignment for Text-to-Image Generation
Runtao Liu, I Chieh Chen, Jindong Gu +6
Text-to-image (T2I) models are widespread, but their limited safety guardrails expose end users to harmful content and potentially allow for model misuse. Current safety measures a…
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Runtao Liu, Haoyu Wu, Zheng Ziqiang +4
Recent progress in generative diffusion models has greatly advanced text-to-video generation. While text-to-video models trained on large-scale, diverse datasets can produce varied…