2 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
SemanticControl: A Training-Free Approach for Handling Loosely Aligned Visual Conditions in ControlNet
Woosung Joung, Daewon Chae, Jinkyu Kim
ControlNet has enabled detailed spatial control in text-to-image diffusion models by incorporating additional visual conditions such as depth or edge maps. However, its effectivene…
Streaming Dense Voxel Representations for 3D Occupancy Prediction
Seokha Moon, Janghyun Baek, Yujin Jeong +5
In this paper, we explore dense voxel streaming for accurate and efficient 3D occupancy prediction. While dense voxel representations offer fine-grained spatial details and streami…
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
Daewon Chae, June Suk Choi, Jinkyu Kim +1
Fine-tuning text-to-image diffusion models to maximize rewards has proven effective for enhancing model performance. However, reward fine-tuning methods often suffer from slow conv…
InstructBooth: Instruction-following Personalized Text-to-Image Generation
Daewon Chae, Nokyung Park, Jinkyu Kim +1
Personalizing text-to-image models using a limited set of images for a specific object has been explored in subject-specific image generation. However, existing methods often face…
Clustering-based Image-Text Graph Matching for Domain Generalization
Nokyung Park, Daewon Chae, Jeongyong Shim +3
Learning domain-invariant visual representations is important to train a model that can generalize well to unseen target task domains. Recent works demonstrate that text descriptio…