Search Results for author:
Found 15 papers, 1 papers with code
Instant Motion Tracking and Its Applications to Augmented Reality
Augmented Reality (AR) brings immersive experiences to users.
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision
The former is used when there is only pose supervision, and the latter is for the case when shape supervision is available, even a weak one.
Ranked #3 on
Monocular 3D Object Detection
on Google Objectron
Instant 3D Object Tracking with Applications in Augmented Reality
Our tracker is capable of performing relative-scale 9-DoF tracking in real-time on mobile devices.
Efficient Heterogeneous Video Segmentation at the Edge
We introduce an efficient video segmentation system for resource-limited edge devices leveraging heterogeneous compute.
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
This paper proposes a method for generating images of customized objects specified by users.
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
Our approach includes a density Mip-VoG for scene geometry and a feature Mip-VoG with a small MLP for view-dependent color.
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
In this paper, we propose a novel language-guided 3D arbitrary neural style transfer method (CLIP3Dstyler).
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
By composing these weights into the diffusion model, coupled with fast finetuning, HyperDreamBooth can generate a person's face in various contexts and styles, with high subject details while also preserving the model's crucial knowledge of diverse styles and semantic modifications.
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
An authentic face restoration system is becoming increasingly demanding in many computer vision applications, e. g., image enhancement, video communication, and taking portrait.
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
Text-to-image diffusion models have demonstrated remarkable capabilities in transforming textual prompts into coherent images, yet the computational cost of their inference remains a persistent challenge.
MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices
The deployment of large-scale text-to-image diffusion models on mobile devices is impeded by their substantial model size and slow inference speed.
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models
We further extend our method to a novel image editing task: substituting the subject in an image through textual manipulations.
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models
Our extensive experiments demonstrate the superior performance of our method in terms of visual quality, identity preservation, and text control, showcasing its effectiveness in the context of text-guided subject-driven image inpainting.
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
However, in the vision domain, existing RL-based reward finetuning methods are limited by their instability in large-scale training, rendering them incapable of generalizing to complex, unseen prompts.
3D Congealing: 3D-Aware Image Alignment in the Wild
The framework optimizes for the canonical representation together with the pose for each input image, and a per-image coordinate map that warps 2D pixel coordinates to the 3D canonical frame to account for the shape matching.
