Search Results for author:
Found 8 papers, 2 papers with code
Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction
We introduce Ming-Lite-Uni, an open-source multimodal framework featuring a newly designed unified visual generator and a native multimodal autoregressive model tailored for unifying vision and language.
Can Language Models Enable In-Context Database?
A benchmark named InConDB is presented and extensive experiments are conducted to show the performance of different language models in enabling in-context database by varying the database encoding method, prompting method, operation type and input data distribution, revealing both the proficiency and limitations.
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis
Current agricultural data management and analysis paradigms are to large extent traditional, in which data collecting, curating, integration, loading, storing, sharing and analyzing still involve too much human effort and know-how.
Transforming Agriculture with Intelligent Data Management and Insights
At the same time, the sheer amount of data poses a great challenge to data storage and analysis, and the \textit{de facto} data management and analysis practices adopted by scientists have become increasingly inefficient.
Freestyle 3D-Aware Portrait Synthesis Based on Compositional Generative Priors
Efficiently generating a freestyle 3D portrait with high quality and 3D-consistency is a promising yet challenging task.
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
Unfortunately, we find UEs provide a false sense of security, because they cannot stop unauthorized users from utilizing other unprotected data to remove the protection, by turning unlearnable data into learnable again.
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
In this paper, we propose HumanDiffusion, a coarse-to-fine alignment diffusion framework, for text-driven person image generation.
AnyFace: Free-style Text-to-Face Synthesis and Manipulation
AnyFace can achieve high-quality, high-resolution, and high-diversity face synthesis and manipulation results without any constraints on the number and content of input captions.
