Chen Change Loy* — accepted AI-conference papers

2024

Kalman-Inspired Feature Propagation for Video Face Super-Resolution

Ruicheng Feng, Chongyi Li, Chen Change Loy*

ECCV 2024poster

"Despite the promising progress of face image super-resolution, video face super-resolution remains relatively under-explored. Existing approaches either adapt general video super-resolution networks to face datasets or apply established face image super-resolution models independently on individual…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2024

LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation

Yushi Lan, Fangzhou Hong, Shuai Yang, Shangchen Zhou, Xuyi Meng, Bo Dai +2

ECCV 2024poster

"The field of neural rendering has witnessed significant progress with advancements in generative models and differentiable rendering techniques. Though 2D diffusion has achieved success, a unified 3D diffusion pipeline remains unsettled. This paper introduces a novel framework called to address thi…

Cited by 38 Source ↗PDF ↗code ↗Scholar ↗