-
Simon Fraser University
- Burnaby
- http://fenggenyu.github.io/
- @FENGGENYU
Stars
Official inference library for Mistral models
Reasoning 3D Segmentation - "segment anything"/grounding/part seperation in 3D with natural conversations.
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
Official implementation of PartSTAD: 2D-to-3D Part Segmentation Task Adaptation (ECCV 2024).
Interactive 3D Segmentation via Interactive Attention
A fast python implementation of DTU MVS 2014 evaluation
Inpaint images with ControlNet
This repo contains the python code as well as the webpage html files for the Spice-E project from VAILab at TAU.
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
TriplaneGaussian: A new hybrid representation for single-view 3D reconstruction.
Infinite Photorealistic Worlds using Procedural Generation
The official implementation of the research paper "DAG Amendment for Inverse Control of Parametric Shapes"
Neural Template: Topology- aware Reconstruction and Disentangled Generation of 3D Meshes (CVPR 2022)
[ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation
Code for Few-View Object Reconstruction with Unknown Categories and Camera Poses at 3DV 2024 (oral)
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
This repository provides the official code of SECAD-Net.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
PartNet code supports torch 1.6 and later version
Some simple Blender scripts for rendering paper figures
This repo is a PyTorch implementation for Paper "Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds"