1 citations · 1 across the 4 of their papers we have counts for
4 papers
TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Xinyu Wei, Jinrui Zhang, Zeqing Wang +4
The rapid advancements of Text-to-Image (T2I) models have ushered in a new phase of AI-generated content, marked by their growing ability to interpret and follow user instructions.…
Pretraining A Large Language Model using Distributed GPUs: A Memory-Efficient Decentralized Paradigm
Jinrui Zhang, Chaodong Xiao, Aoqi Wu +2
Pretraining large language models (LLMs) typically requires centralized clusters with thousands of high-memory GPUs (e.g., H100/A100). Recent decentralized training methods reduce…
VideoVerse: Does Your T2V Generator Have World Model Capability to Synthesize Videos?
Zeqing Wang, Xinyu Wei, Bairui Li +5
The recent rapid advancement of Text-to-Video (T2V) generation technologies are engaging the trained models with more world model ability, making the existing benchmarks increasing…
MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition
Xinyu Wei, Kangrui Cen, Hongyang Wei +6
In controllable image generation, synthesizing coherent and consistent images from multiple reference inputs, i.e., Multi-Image Composition (MICo), remains a challenging problem, p…