Zhengzheng Tian

OrienDiffusion: Taming Diffusion Towards Fine-grained Portrait Matting

Recently, diffusion models have been applied to reformulate the regressive portrait matting task as a gradual denoising-driven generative process, alleviating the inherent limitations of discriminative models via iterative error correction. However, due to the lack of high-quality ground-truth matte