10 citations · 16 across the 9 of their papers we have counts for
13 papers
ProcFunc: Function-Oriented Abstractions for Procedural 3D Generation in Python
Alexander Raistrick, Karhan Kayan, Jack Nugent +8
We introduce ProcFunc, a library for Blender-based procedural 3D generation in Python. ProcFunc provides a library of easy-to-use Python functions, which streamline creating, combi…
Zero-Shot Depth from Defocus
Yiming Zuo, Hongyu Wen, Venkat Subramanian +5
Depth from Defocus (DfD) is the task of estimating a dense metric depth map from a focus stack. Unlike previous works overfitting to a certain dataset, this paper focuses on the ch…
Princeton365: A Diverse Dataset with Accurate Camera Pose
Karhan Kayan, Stamatis Alexandropoulos, Rishabh Jain +3
We introduce Princeton365, a large-scale diverse dataset of 365 videos with accurate camera pose. Our dataset bridges the gap between accuracy and data diversity in current SLAM be…
Procedural Generation of Articulated Simulation-Ready Assets
Abhishek Joshi, Beining Han, Jack Nugent +12
We introduce Infinigen-Articulated, a toolkit for generating realistic, procedurally generated articulated assets for robotics simulation. We include procedural generators for 18 c…
Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation
Hongyu Wen, Yiming Zuo, Venkat Subramanian +2
Transparent objects are common in daily life, and understanding their multi-layer depth information -- perceiving both the transparent surface and the objects behind it -- is cruci…
OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration
Yiming Zuo, Willow Yang, Zeyu Ma +1
Depth completion (DC) aims to predict a dense depth map from an RGB image and a sparse depth map. Existing DC methods generalize poorly to new datasets or unseen sparse depth patte…
Towards Foundation Models for 3D Vision: How Close Are We?
Yiming Zuo, Karhan Kayan, Maggie Wang +3
Building a foundation model for 3D vision is a complex challenge that remains unsolved. Towards that goal, it is important to understand the 3D reasoning capabilities of current mo…
Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation
Alexander Raistrick, Lingjie Mei, Karhan Kayan +9
We introduce Infinigen Indoors, a Blender-based procedural generator of photorealistic indoor scenes. It builds upon the existing Infinigen system, which focuses on natural scenes,…
OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations
Yiming Zuo, Jia Deng
Depth completion is the task of generating a dense depth map given an image and a sparse depth map as inputs. It has important applications in various downstream tasks. In this pap…
Infinite Photorealistic Worlds using Procedural Generation
Alexander Raistrick, Lahav Lipson, Zeyu Ma +12
We introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural world. Infinigen is entirely procedural: every asset, from shape to texture, is generated…
View Synthesis with Sculpted Neural Points
Yiming Zuo, Jia Deng
We address the task of view synthesis, generating novel views of a scene given a set of images as input. In many recent works such as NeRF (Mildenhall et al., 2020), the scene geom…
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
Adam W. Harley, Yiming Zuo, Jing Wen +4
We propose an unsupervised method for detecting and tracking moving objects in 3D, in unlabelled RGB-D videos. The method begins with classic handcrafted techniques for segmenting…
CRAVES: Controlling Robotic Arm with a Vision-based Economic System
Yiming Zuo, Weichao Qiu, Lingxi Xie +3
Training a robotic arm to accomplish real-world tasks has been attracting increasing attention in both academia and industry. This work discusses the role of computer vision algori…