activity
20232025
most citedSemantic Image Inversion and Editing using Rectified Stochastic Differential Equations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Layer-Aware Video Composition via Split-then-Merge

Ozgur Kara, Yujia Chen, Ming-Hsuan Yang +3

We present Split-then-Merge (StM), a novel framework designed to enhance control in generative video composition and address its data scarcity problem. Unlike conventional methods…

cs.CV2024

SEAL: Semantic Attention Learning for Long Video Representation

Lan Wang, Yujia Chen, Du Tran +2

Long video understanding presents challenges due to the inherent high computational complexity and redundant temporal information. An effective representation for long videos must…

cs.LG2024★ 1 cited

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

Litu Rout, Yujia Chen, Nataniel Ruiz +3

Generative models transform random noise into images; their inversion aims to transform images back to structured noise for recovery and editing. This paper addresses two key tasks…

cs.LG2024

RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control

Litu Rout, Yujia Chen, Nataniel Ruiz +4

We propose Reference-Based Modulation (RB-Modulation), a new plug-and-play solution for training-free personalization of diffusion models. Existing training-free approaches exhibit…

cs.LG2023

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

Litu Rout, Yujia Chen, Abhishek Kumar +3

Sampling from the posterior distribution poses a major computational challenge in solving inverse problems using latent diffusion models. Common methods rely on Tweedie's first-ord…