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Dongxu Yue

4 accepted papers

2026

OmniPortrait: Fine-Grained Personalized Portrait Synthesis via Pivotal Optimization

ICLR 2026poster

Image identity customization aims to synthesize realistic and diverse portraits of a specified identity, given a reference image and a text prompt. This task presents two key challenges: (1) generating realistic portraits that preserve fine-grained facial details of the reference identity, and (2) m…

Cited by 0SourceScholar
2025

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation

ICML 2025poster

Although significant advancements have been achieved in the progress of keypoint-guided Text-to-Image diffusion models, existing mainstream keypoint-guided models encounter challenges in controlling the generation of more general non-rigid objects beyond humans (e.g., animals). Moreover, it is diffi…

Cited by 0SourcePDFScholar
2024

A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing

CVPR 2024poster

This paper presents a video inversion approach for zero-shot video editing which models the input video with low-rank representation during the inversion process. The existing video editing methods usually apply the typical 2D DDIM inversion or naive spatial-temporal DDIM inversion before editing wh…

2024

AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes

ECCV 2024poster

"While large text-to-image diffusion models have made significant progress in high-quality image generation, challenges persist when users insert their portraits into existing photos, especially group photos. Concretely, existing customization methods struggle to insert facial identities at desired…