25 citations · 38 across the 8 of their papers we have counts for
8 papers
BAG: Budget-Aware Gating for Diffusion Caching
Tong Zhao, Mingkun Lei, Yucheng Han +1
Diffusion caching is a lightweight strategy that accelerates Diffusion Transformers (DiTs) by reusing intermediate features across denoising steps, but existing paradigms face a fu…
ReasonEdit: Towards Reasoning-Enhanced Image Editing Models
Fukun Yin, Shiyu Liu, Yucheng Han +12
Recent advances in image editing models have shown remarkable progress. A common architectural design couples a multimodal large language model (MLLM) encoder with a diffusion deco…
Step1X-Edit: A Practical Framework for General Image Editing
Shiyu Liu, Yucheng Han, Peng Xing +21
In recent years, image editing models have witnessed remarkable and rapid development. The recent unveiling of cutting-edge multimodal models such as GPT-4o and Gemini2 Flash has i…
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Yucheng Han, Rui Wang, Chi Zhang +4
Recent advancements in image generation have enabled the creation of high-quality images from text conditions. However, when facing multi-modal conditions, such as text combined wi…
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection
Yucheng Han, Na Zhao, Weiling Chen +2
Semi-supervised 3D object detection is a promising yet under-explored direction to reduce data annotation costs, especially for cluttered indoor scenes. A few prior works, such as…
AppAgent: Multimodal Agents as Smartphone Users
Chi Zhang, Zhao Yang, Jiaxuan Liu +6
Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks. This paper introduces a novel LLM-based mult…
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
Xu Yang, Yingzhe Peng, Haoxuan Ma +4
As Archimedes famously said, ``Give me a lever long enough and a fulcrum on which to place it, and I shall move the world'', in this study, we propose to use a tiny Language Model…
ChartLlama: A Multimodal LLM for Chart Understanding and Generation
Yucheng Han, Chi Zhang, Xin Chen +5
Multi-modal large language models have demonstrated impressive performances on most vision-language tasks. However, the model generally lacks the understanding capabilities for spe…