most citedEdit Everything: A Text-Guided Generative System for Images Editing

7 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20231 cited

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback

Yiqi Lin, Hao Wu, Ruichen Wang +4

Generating and editing a 3D scene guided by natural language poses a challenge, primarily due to the complexity of specifying the positional relations and volumetric changes within…

cs.CV20237 cited

Edit Everything: A Text-Guided Generative System for Images Editing

Defeng Xie, Ruichen Wang, Jian Ma +5

We introduce a new generative system called Edit Everything, which can take image and text inputs and produce image outputs. Edit Everything allows users to edit images using simpl…

cs.CV20236 cited

Class Attention Transfer Based Knowledge Distillation

Ziyao Guo, Haonan Yan, Hui Li +1

Previous knowledge distillation methods have shown their impressive performance on model compression tasks, however, it is hard to explain how the knowledge they transferred helps…

cs.CV20233 cited

GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation

Jian Ma, Mingjun Zhao, Chen Chen +4

Recent breakthroughs in the field of language-guided image generation have yielded impressive achievements, enabling the creation of high-quality and diverse images based on user i…

cs.AI2021

Learning to Walk with Dual Agents for Knowledge Graph Reasoning

Denghui Zhang, Zixuan Yuan, Hao Liu +2

Graph walking based on reinforcement learning (RL) has shown great success in navigating an agent to automatically complete various reasoning tasks over an incomplete knowledge gra…