activity
20242026
collaborators

5 papers

cs.AI2026

Orchestra-o1: Omnimodal Agent Orchestration

Fan Zhang, Vireo Zhang, Shengju Qian +8

The recent success of agent swarms has shifted the paradigm of large language model (LLM)-based agents from single-agent workflows to multi-agent systems, highlighting the importan…

cs.CV2026

OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation

Donghao Zhou, Guisheng Liu, Hao Yang +9

In this work, we study Human-Object Interaction Video Generation (HOIVG), which aims to synthesize high-quality human-object interaction videos conditioned on text, reference image…

cs.CV2026

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

Yichen Liu, Donghao Zhou, Jie Wang +9

Human-product images, which showcase the integration of humans and products, play a vital role in advertising, e-commerce, and digital marketing. The essential challenge of generat…

cs.CV2025

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results

Xiaohong Liu, Xiongkuo Min, Qiang Hu +92

This paper reports on the NTIRE 2025 XGC Quality Assessment Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) a…

cs.CV2024

Dual-Schedule Inversion: Training- and Tuning-Free Inversion for Real Image Editing

Jiancheng Huang, Yi Huang, Jianzhuang Liu +3

Text-conditional image editing is a practical AIGC task that has recently emerged with great commercial and academic value. For real image editing, most diffusion model-based metho…