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Zongming Li

2 accepted papers

2026

TransLight: Image-Guided Customized Lighting Control with Generative Decoupling

ICML 2026poster

Most existing illumination-editing methods struggle to jointly offer customized lighting control and preserve content integrity, limiting their effectiveness especially in transferring complex light effects from a reference to a target image in portrait photography. To address this problem, we propo…

Cited by 0SourceScholar
2025

ControlAR: Controllable Image Generation with Autoregressive Models

ICLR 2025poster

Autoregressive (AR) models have reformulated image generation as next-token prediction, demonstrating remarkable potential and emerging as strong competitors to diffusion models. However, control-to-image generation, akin to ControlNet, remains largely unexplored within AR models. Although a natural…