27 citations · 83 across the 11 of their papers we have counts for
11 papers
3D Congealing: 3D-Aware Image Alignment in the Wild
Yunzhi Zhang, Zizhang Li, Amit Raj +5
We propose 3D Congealing, a novel problem of 3D-aware alignment for 2D images capturing semantically similar objects. Given a collection of unlabeled Internet images, our goal is t…
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Yang Zhao, Tingbo Hou, Yu-Chuan Su +2
An authentic face restoration system is becoming increasingly demanding in many computer vision applications, e.g., image enhancement, video communication, and taking portrait. Mos…
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +6
Personalization has emerged as a prominent aspect within the field of generative AI, enabling the synthesis of individuals in diverse contexts and styles, while retaining high-fide…
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Yanwu Xu, Mingming Gong, Shaoan Xie +4
Despite the proliferation of generative models, achieving fast sampling during inference without compromising sample diversity and quality remains challenging. Existing models such…
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
Ming Gao, YanWu Xu, Yang Zhao +3
In this paper, we propose a novel language-guided 3D arbitrary neural style transfer method (CLIP3Dstyler). We aim at stylizing any 3D scene with an arbitrary style from a text des…
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
Xuhui Jia, Yang Zhao, Kelvin C. K. Chan +6
This paper proposes a method for generating images of customized objects specified by users. The method is based on a general framework that bypasses the lengthy optimization requi…
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
Dongting Hu, Zhenkai Zhang, Tingbo Hou +3
The rendering scheme in neural radiance field (NeRF) is effective in rendering a pixel by casting a ray into the scene. However, NeRF yields blurred rendering results when the trai…
Efficient Heterogeneous Video Segmentation at the Edge
Jamie Menjay Lin, Siargey Pisarchyk, Juhyun Lee +7
We introduce an efficient video segmentation system for resource-limited edge devices leveraging heterogeneous compute. Specifically, we design network models by searching across m…
Instant 3D Object Tracking with Applications in Augmented Reality
Adel Ahmadyan, Tingbo Hou, Jianing Wei +3
Tracking object poses in 3D is a crucial building block for Augmented Reality applications. We propose an instant motion tracking system that tracks an object's pose in space (repr…
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision
Tingbo Hou, Adel Ahmadyan, Liangkai Zhang +2
In this paper, we address the problem of detecting unseen objects from RGB images and estimating their poses in 3D. We propose two mobile friendly networks: MobilePose-Base and Mob…
Instant Motion Tracking and Its Applications to Augmented Reality
Jianing Wei, Genzhi Ye, Tyler Mullen +3
Augmented Reality (AR) brings immersive experiences to users. With recent advances in computer vision and mobile computing, AR has scaled across platforms, and has increased adopti…