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Jaehoon Hahm

3 accepted papers

2026

Equivariant Latent Alignment via Flow Matching under Group Symmetries

ICML 2026poster

Geometry-aware generative models and novel view synthesis approaches have shown strong potential in visual fidelity and consistency. In parallel, equivariant representation learning has emerged as a powerful framework for constructing latent spaces where analytically known group transformations coul…

Cited by 0SourceScholar
2025

SummDiff: Generative Modeling of Video Summarization with Diffusion

ICCV 2025poster

Video summarization is a task of shortening a video by choosing a subset of frames while preserving its essential moments. Despite the innate subjectivity of the task, previous works have deterministically regressed to an averaged frame score over multiple raters, ignoring the inherent subjectivity…

Cited by 0SourcePDFScholar
2024

Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

ICML 2024poster

The latent space of diffusion model mostly still remains unexplored, despite its great success and potential in the field of generative modeling. In fact, the latent space of existing diffusion models are entangled, with a distorted mapping from its latent space to image space. To tackle this proble…