3 papers
cs.AI2026
TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward
Debottam Dutta, Jaehoon Hahm, Jianchong Chen +1
Recent advances in powerful text-to-image generation models have made it increasingly important to develop test-time methods that modify the sampling trajectory to produce images m…
cs.CV2026
Steer Away From Mode Collisions: Improving Composition In Diffusion Models
Debottam Dutta, Jianchong Chen, Rajalaxmi Rajagopalan +2
We propose to improve multi-concept prompt fidelity in text-to-image diffusion models. We begin with common failure cases - prompts like "a cat and a dog" that sometimes yields ima…
cs.SD2025
Unsupervised Multi-channel Speech Dereverberation via Diffusion
Yulun Wu, Zhongweiyang Xu, Jianchong Chen +2
We consider the problem of multi-channel single-speaker blind dereverberation, where multi-channel mixtures are used to recover the clean anechoic speech. To solve this problem, we…