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Jingwei Tang

4 accepted papers

2026

What Is It Like to Be a Noise? An Entropy-based Gaussian Noise Regularization for Diffusion Models

CVPR 2026

Inference-time optimization of diffusion latents enables powerful control but often degrades the statistical structure of true Gaussian noise, causing artifacts and reward hacking. To address this, we propose a Gaussianity regularizer that aligns a sample's local statistics with a typical Gaussian r

Cited by 0SourceScholar
2025

LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

CVPR 2025poster

Anamorphosis refers to a category of images that are intentionally distorted, making them unrecognizable when viewed directly. Their true form only reveals itself when seen from a specific viewpoint, which can be through some catadioptric device like a mirror or a lens. While the construction of the…

Cited by 0SourcePDFScholar
2024

How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models

ICLR 2024oral

Video editing and generation methods often rely on pre-trained image-based diffusion models. During the diffusion process, however, the reliance on rudimentary noise sampling techniques that do not preserve correlations present in subsequent frames of a video is detrimental to the quality of the res…

Cited by 16SourcePDFScholar
2019

Learning-Based Sampling for Natural Image Matting

CVPR 2019poster

The goal of natural image matting is the estimation of opacities of a user-defined foreground object that is essential in creating realistic composite imagery. Natural matting is a challenging process due to the high number of unknowns in the mathematical modeling of the problem, namely the opacitie…

Cited by 160PDFScholar