1 citations · 1 across the 8 of their papers we have counts for
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DishSeg24k: A Large-Scale Benchmark for Food Segmentation with Stochastic Expert Decoding
Yilin Wang, Haochen Shi, Guanyu Chen +4
Food segmentation is essential for applications such as intelligent catering, dietary assessment, and recommendation. However, existing benchmarks fail to capture the complexity of…
UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics
Xi Chen, Zhifei Zhang, He Zhang +10
We introduce UniReal, a unified framework designed to address various image generation and editing tasks. Existing solutions often vary by tasks, yet share fundamental principles:…
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity
Hang Hua, Qing Liu, Lingzhi Zhang +5
The advent of large Vision-Language Models (VLMs) has significantly advanced multimodal tasks, enabling more sophisticated and accurate reasoning across various applications, inclu…
FilterPrompt: A Simple yet Efficient Approach to Guide Image Appearance Transfer in Diffusion Models
Xi Wang, Yichen Peng, Heng Fang +4
In controllable generation tasks, flexibly manipulating the generated images to attain a desired appearance or structure based on a single input image cue remains a critical and lo…
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
Jing Gu, Nanxuan Zhao, Wei Xiong +7
Effective editing of personal content holds a pivotal role in enabling individuals to express their creativity, weaving captivating narratives within their visual stories, and elev…
UniHuman: A Unified Model for Editing Human Images in the Wild
Nannan Li, Qing Liu, Krishna Kumar Singh +4
Human image editing includes tasks like changing a person's pose, their clothing, or editing the image according to a text prompt. However, prior work often tackles these tasks sep…