27 citations · 57 across the 5 of their papers we have counts for
8 papers · 1 filter
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models
Zhipeng Bao, Yijun Li, Krishna Kumar Singh +2
Despite recent significant strides achieved by diffusion-based Text-to-Image (T2I) models, current systems are still less capable of ensuring decent compositional generation aligne…
Multi-task View Synthesis with Neural Radiance Fields
Shuhong Zheng, Zhipeng Bao, Martial Hebert +1
Multi-task visual learning is a critical aspect of computer vision. Current research, however, predominantly concentrates on the multi-task dense prediction setting, which overlook…
Flexible Techniques for Differentiable Rendering with 3D Gaussians
Leonid Keselman, Martial Hebert
Fast, reliable shape reconstruction is an essential ingredient in many computer vision applications. Neural Radiance Fields demonstrated that photorealistic novel view synthesis is…
Object Discovery from Motion-Guided Tokens
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang +2
Object discovery -- separating objects from the background without manual labels -- is a fundamental open challenge in computer vision. Previous methods struggle to go beyond clust…
Learning Continuous Implicit Representation for Near-Periodic Patterns
Bowei Chen, Tiancheng Zhi, Martial Hebert +1
Near-Periodic Patterns (NPP) are ubiquitous in man-made scenes and are composed of tiled motifs with appearance differences caused by lighting, defects, or design elements. A good…
Contextual Visual Similarity
Xiaofang Wang, Kris M. Kitani, Martial Hebert
Measuring visual similarity is critical for image understanding. But what makes two images similar? Most existing work on visual similarity assumes that images are similar because…