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Binglei Li

3 accepted papers

2026

DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers

CVPR 2026

Recent breakthroughs in Diffusion Transformers (DiTs) have revolutionized the field of visual synthesis due to their superior scalability. To facilitate DiTs' capability of capturing meaningful internal representations, recent works such as REPA incorporate external pretrained encoders for represent

Cited by 0SourcecodeScholar
2025

InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention

NeurIPS 2025poster

Diffusion models have demonstrated remarkable capabilities in generating high-quality images. Recent advancements in Layout-to-Image (L2I) generation have leveraged positional conditions and textual descriptions to facilitate precise and controllable image synthesis. Despite overall progress, curren…

Cited by 0SourcecodeScholar
2024

Semantic Latent Decomposition with Normalizing Flows for Face Editing

ICASSP 2024accepted

Navigating in the latent space of StyleGAN has shown effectiveness for face editing. However, the resulting methods usually encounter challenges in complicated navigation due to the entanglement among different attributes in the latent space. To address this issue, this paper proposes a novel framew…

Cited by 0SourceScholar