◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jeongjae Lee

Korea Advanced Institute of Science and Technology

4 papers hereh-index 21.9k citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
affiliations
  • Korea Advanced Institute of Science and Technology
  • Université de Montréal
  • Mila - Quebec Artificial Intelligence Institute
HomepageORCID 0000-0002-5732-3009
same name
  • Jeongjae Lee — 10 papers, h 4
  • Jeongjae Lee — 4 papers, h 21
  • Jeongjae Lee — 1 paper, h 5
  • Jeongjae Lee — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

GeoFix: Geometry Fixing for 4D Consistent Generation

Yeobin Hong, Hyojun Go, Dohun Lee +7

Video diffusion models increasingly serve as priors for 4D generation, but the generated videos often lack geometric consistency. Recent approaches address this through post-traini…

cs.LG2026

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference

Jaewoo Lee, Hyeongyu Kang, Dohyun Kim +9

Aligning a few-step generative model is challenging, since existing alignment frameworks typically rely on restrictive assumptions: a tractable likelihood, a specific ODE/SDE solve…

cs.LG2026

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models

Jeongjae Lee, Jinho Chang, Jeongsol Kim +1

Reward-based fine-tuning steers a pretrained diffusion or flow-based generative model toward higher-reward samples while remaining close to the pretrained model. Although existing…

cs.CV2025

PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models

Jeongjae Lee, Jong Chul Ye

While reinforcement learning has advanced the alignment of text-to-image (T2I) models, state-of-the-art policy gradient methods are still hampered by training instability and high…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.