5 papers · 1 filter
DivRL: Disentangled Self-Similarity Rewards for Diverse Subject-Driven Generation
Qian Wang, Zhenyu Li, Abdelrahman Eldesokey +1
Subject-driven image generation faces an "Identity-Diversity Paradox", where strong identity preservation often leads to rigid and low-diversity outputs. We propose a post-training…
RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection
Tianyu Wang, Zhiyuan Ma, Qian Wang +3
Recent advancements in image generation have achieved impressive results in producing high-quality images. However, existing image generation models still generally struggle with a…
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
Qian Wang, Biao Zhang, Michael Birsak +1
Recent works have explored text-guided image editing using diffusion models and generated edited images based on text prompts. However, the models struggle to accurately locate the…
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
Qian Wang, Biao Zhang, Michael Birsak +1
Image generation using diffusion can be controlled in multiple ways. In this paper, we systematically analyze the equations of modern generative diffusion networks to propose a fra…
BlobGAN-3D: A Spatially-Disentangled 3D-Aware Generative Model for Indoor Scenes
Qian Wang, Yiqun Wang, Michael Birsak +1
3D-aware image synthesis has attracted increasing interest as it models the 3D nature of our real world. However, performing realistic object-level editing of the generated images…