3 papers
cs.CV2026
Decoder Generates Manufacturable Structures: A Framework for 3D-Printable Object Synthesis
Abhishek Kumar
This paper presents a novel decoder-based approach for generating manufacturable 3D structures optimized for additive manufacturing. We introduce a deep learning framework that dec…
cs.LG2025
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy +4
Text-to-image diffusion models often exhibit biases toward specific demographic groups, such as generating more males than females when prompted to generate images of engineers, ra…
cs.LG2024
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
Litu Rout, Yujia Chen, Nataniel Ruiz +4
We propose Reference-Based Modulation (RB-Modulation), a new plug-and-play solution for training-free personalization of diffusion models. Existing training-free approaches exhibit…