Search Results for author: Susung Hong

Found 5 papers, 4 papers with code

Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation

1 code implementation23 May 2023 Susung Hong, Junyoung Seo, Sunghwan Hong, Heeseong Shin, Seungryong Kim

In the paradigm of AI-generated content (AIGC), there has been increasing attention in extending pre-trained text-to-image (T2I) models to text-to-video (T2V) generation.

Text-to-Video Generation Video Generation +1

Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation

1 code implementation NeurIPS 2023 Susung Hong, Donghoon Ahn, Seungryong Kim

In this work, we explore existing frameworks for score-distilling text-to-3D generation and identify the main causes of the view inconsistency problem -- the embedded bias of 2D diffusion models.

Language Modelling Text to 3D

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence

1 code implementation6 Oct 2022 Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim

Existing pipelines of semantic correspondence commonly include extracting high-level semantic features for the invariance against intra-class variations and background clutters.

Semantic correspondence

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance

4 code implementations ICCV 2023 Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim

Denoising diffusion models (DDMs) have attracted attention for their exceptional generation quality and diversity.

Denoising Image Generation

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