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cs.CV2025
APT: Improving Diffusion Models for High Resolution Image Generation with Adaptive Path Tracing
Sangmin Han, Jinho Jeong, Jinwoo Kim +1
Latent Diffusion Models (LDMs) are generally trained at fixed resolutions, limiting their capability when scaling up to high-resolution images. While training-based approaches addr…
cs.CV2025
ORIDa: Object-centric Real-world Image Composition Dataset
Jinwoo Kim, Sangmin Han, Jinho Jeong +3
Object compositing, the task of placing and harmonizing objects in images of diverse visual scenes, has become an important task in computer vision with the rise of generative mode…
cs.CV2025
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
Jinho Jeong, Sangmin Han, Jinwoo Kim +1
In this paper, we propose LSRNA, a novel framework for higher-resolution (exceeding 1K) image generation using diffusion models by leveraging super-resolution directly in the laten…