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Zekai Luo

4 accepted papers

2026

Exploring Spatial Intelligence from a Generative Perspective

CVPR 2026

Spatial intelligence is essential for multimodal large language models, yet current benchmarks largely assess it only from an understanding perspective. We ask whether modern generative or unified multimodal models also possess generative spatial intelligence (GSI)--the ability to respect and manipu

Cited by 0SourcecodeScholar
2026

Preserving Source Video Realism: High-Fidelity Face Swapping for Cinematic Quality

CVPR 2026

Video face swapping is crucial in film and entertainment production, where achieving high fidelity and temporal consistency over long and complex video sequences remains a significant challenge. Inspired by recent advances in reference-guided image editing, we explore whether rich visual attributes

Cited by 0SourcecodeScholar
2025

Local Conditional Controlling for Text-to-Image Diffusion Models

AAAI 2025technical

Diffusion models have exhibited impressive prowess in the text-to-image task. Recent methods add image-level structure controls, e.g., edge and depth maps, to manipulate the generation process together with text prompts to obtain desired images. This controlling process is globally operated on the e…

2024

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation

NeurIPS 2024poster

The Diffusion Model has not only garnered noteworthy achievements in the realm of image generation but has also demonstrated its potential as an effective pretraining method utilizing unlabeled data. Drawing from the extensive potential unveiled by the Diffusion Model in both semantic corresponden…