← Search

Hongkai Lin

2 accepted papers

2025

A Unified Image-Dense Annotation Generation Model for Underwater Scenes

CVPR 2025poster

Underwater dense prediction, especially depth estimation and semantic segmentation, is crucial for gaining a comprehensive understanding of underwater scenes. Nevertheless, high-quality and large-scale underwater datasets with dense annotations remain scarce because of the complex environment and th…

2025

More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models

NeurIPS 2025poster

Generative depth estimation methods leverage the rich visual priors stored in pretrained text-to-image diffusion models, demonstrating astonishing zero-shot capability. However, parameter updates during training lead to catastrophic degradation in the image generation capability of the pretrained mo…

Cited by 0SourceScholar