activity
20232026
most citedGenerative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning

43 citations · 44 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

M-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining

Rui Lv, Juncheng Mo, Tianyi Chu +11

Graphical User Interface (GUI) agent is pivotal to advancing intelligent human-computer interaction paradigms. Constructing powerful GUI agents necessitates the large-scale annotat…

cs.AI2025

SparkUI-Parser: Enhancing GUI Perception with Robust Grounding and Parsing

Hongyi Jing, Jiafu Chen, Chen Rao +9

The existing Multimodal Large Language Models (MLLMs) for GUI perception have made great progress. However, the following challenges still exist in prior methods: 1) They model dis…

cs.CV2024

Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation

Tianyi Chu, Wei Xing, Jiafu Chen +5

Existing generative adversarial network (GAN) based conditional image generative models typically produce fixed output for the same conditional input, which is unreasonable for hig…

cs.CV2024

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Jiafu Chen, Wei Xing, Jiakai Sun +7

3D scene stylization refers to transform the appearance of a 3D scene to match a given style image, ensuring that images rendered from different viewpoints exhibit the same style a…

cs.CV2023★ 1 cited

VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs

Jiakai Sun, Zhanjie Zhang, Jiafu Chen +5

Neural Radiance Fields (NeRF) has shown great success in novel view synthesis due to its state-of-the-art quality and flexibility. However, NeRF requires dense input views (tens to…

cs.CV2023★ 43 cited

Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning

Zhiwen Zuo, Lei Zhao, Ailin Li +5

This paper presents a new adversarial training framework for image inpainting with segmentation confusion adversarial training (SCAT) and contrastive learning. SCAT plays an advers…