most citedAppAgent: Multimodal Agents as Smartphone Users

11 citations · 22 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D

Wei Cheng, Juncheng Mu, Xianfang Zeng +8

Texturing is a crucial step in the 3D asset production workflow, which enhances the visual appeal and diversity of 3D assets. Despite recent advancements in Text-to-Texture (T2T) g…

cs.HC2024

AppAgent v2: Advanced Agent for Flexible Mobile Interactions

Yanda Li, Chi Zhang, Wenjia Jiang +6

With the advancement of Multimodal Large Language Models (MLLM), LLM-driven visual agents are increasingly impacting software interfaces, particularly those with graphical user int…

cs.CV2024★ 6 cited

MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

Sijin Chen, Xin Chen, Anqi Pang +11

The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed, and storage efficiency, which is widely preferred in various applications. However, giv…

cs.CV2024

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…

cs.CV2024★ 4 cited

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Xiwei Hu, Rui Wang, Yixiao Fang +3

Diffusion models have demonstrated remarkable performance in the domain of text-to-image generation. However, most widely used models still employ CLIP as their text encoder, which…

cs.CV2023★ 1 cited

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models

Xianfang Zeng, Xin Chen, Zhongqi Qi +6

This paper presents Paint3D, a novel coarse-to-fine generative framework that is capable of producing high-resolution, lighting-less, and diverse 2K UV texture maps for untextured…

cs.CV2023★ 11 cited

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…