273 citations
- Huawei Technologies (China)CN24 papers
- Tsinghua UniversityCN18 papers
- Peking UniversityCN13 papers
- Shanghai Jiao Tong UniversityCN10 papers
- National Research University Higher School of EconomicsRU8 papers
- Huawei Technologies (United Kingdom)GB7 papers
- The University of SydneyAU7 papers
- Chinese University of Hong KongHK6 papers
- Peng Cheng LaboratoryCN6 papers
- Tianjin UniversityCN6 papers
- KTH Royal Institute of TechnologySE5 papers
- Skolkovo Institute of Science and TechnologyRU5 papers
164 papers
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
Zhipeng Bian, Jieming Zhu, Qijiong Liu +6
Recent advances in multimodal large language models (MLLMs) and diffusion models (DMs) have opened new possibilities for AI-generated content. Yet, personalized cover image generat…
ICo3D: An Interactive Conversational 3D Virtual Human
Richard Shaw, Youngkyoon Jang, Athanasios Papaioannou +4
This work presents Interactive Conversational 3D Virtual Human (ICo3D), a method for generating an interactive, conversational, and photorealistic 3D human avatar. Based on multi-v…
PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
Ye Tian, Chengcheng Wang, Jing Han +2
As Large Language Models (LLMs) continue to grow in size, storing and transmitting them on edge devices becomes increasingly challenging. Traditional methods like quantization and…
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
Zhipeng Bian, Jieming Zhu, Xuyang Xie +3
The rapid advancement of generative AI technologies is driving the integration of diverse AI-powered services into smartphones, transforming how users interact with their devices.…
Human Motion Video Generation: A Survey
Haiwei Xue, Xiangyang Luo, Zhanghao Hu +12
Human motion video generation has garnered significant research interest due to its broad applications, enabling innovations such as photorealistic singing heads or dynamic avatars…
YABLoCo: Yet Another Benchmark for Long Context Code Generation
Aidar Valeev, Roman Garaev, Vadim Lomshakov +3
Large Language Models demonstrate the ability to solve various programming tasks, including code generation. Typically, the performance of LLMs is measured on benchmarks with small…