Search Results for author: Seungho Nam

Found 3 papers, 1 papers with code

LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge

no code implementations2 Jan 2025 Kyoungkook Kang, Gyujin Sim, Geonung Kim, Donguk Kim, Seungho Nam, Sunghyun Cho

In this paper, we propose LayeringDiff, a novel pipeline for the synthesis of layered images, which begins by generating a composite image using an off-the-shelf image generative model, followed by disassembling the image into its constituent foreground and background layers.

Image Generation

CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics

1 code implementation2 Jul 2022 Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park

This paper presents CoVA, a novel cascade architecture that splits the cascade computation between compressed domain and pixel domain to address the decoding bottleneck, supporting both temporal and spatial queries.

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