- Ann Arbor, MI
- https://crockwell.github.io/
- @_crockwell
Stars
Wan: Open and Advanced Large-Scale Video Generative Models
[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.
Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"
Training library for local feature detection and matching
[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
[ICCV 2021 (oral)] Planar Surface Reconstruction from Sparse Views
[ECCV 2022] Map-free Visual Relocalization: Metric Pose Relative to a Single Image
The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold
[CVPR 2023] Two-view Geometry Scoring Without Correspondences
[ICCV 2023] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
[NeurIPS 2023] Scalable 3D Captioning with Pretrained Models
A unified framework for 3D content generation.
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023).
Coder for "On the Continuity of Rotation Representations"
A Unified Framework for Transforming between Text, Point Cloud, and Program
Tooling for the Common Objects In 3D dataset.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
[ECCV 2022] Compositional Generation using Diffusion Models
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/ab…
A terminal assistant for the hopelessly confused
PartNet Dataset Official Release Repo
[NeurIPS 2022] Official pytorch implementation of EpiGRAF
[NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields.