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cs.CV2024

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models

Wonguk Cho, Seokeon Choi, Debasmit Das +4

Recent advancements in text-to-image diffusion models have enabled the personalization of these models to generate custom images from textual prompts. This paper presents an effici…

cs.CV2024

Sort-free Gaussian Splatting via Weighted Sum Rendering

Qiqi Hou, Randall Rauwendaal, Zifeng Li +5

Recently, 3D Gaussian Splatting (3DGS) has emerged as a significant advancement in 3D scene reconstruction, attracting considerable attention due to its ability to recover high-fid…

cs.CV2024

Neural Graphics Texture Compression Supporting Random Access

Farzad Farhadzadeh, Qiqi Hou, Hoang Le +4

Advances in rendering have led to tremendous growth in texture assets, including resolution, complexity, and novel textures components, but this growth in data volume has not been…

cs.CV2024

Segmentation-Free Guidance for Text-to-Image Diffusion Models

Kambiz Azarian, Debasmit Das, Qiqi Hou +1

We introduce segmentation-free guidance, a novel method designed for text-to-image diffusion models like Stable Diffusion. Our method does not require retraining of the diffusion m…

cs.CV2024

EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting

Min-Hui Lin, Mahesh Reddy, Guillaume Berger +3

In this paper, we present EdgeRelight360, an approach for real-time video portrait relighting on mobile devices, utilizing text-conditioned generation of 360-degree high dynamic ra…