gorilla-lab-scut Goto Github PK

affordancenet

analyticmesh

An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks

bico-net

Code for "BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation"

dada-aaai2020

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).

dcl-net

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation

disclusterda

Code release for Unsupervised Domain Adaptation via Distilled Discriminative Clustering published by Pattern Recognition in 2022

dualposenet

Code for "DualPoseNet: Category-level 6D Object Pose and Size EstimationUsing Dual Pose Network with Refined Learning of Pose Consistency"

fantasia3d

(ICCV2023) official repository for "Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation"

frustum-convnet

The PyTorch Implementation of F-ConvNet for 3D Object Detection

geoa3

Code for Geometry-Aware Generation of Adversarial Point Clouds

gmvs

This repo is a module for PatchMatch Stereo

gorilla-3d

gorilla-core

gpnet

gpnetpp

gsf-ppf

Code release for ``Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning'' published in CVPR 2022.

h-srdc

Code release for Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering (TPAMI 2022).

helixsurf

official implementation of "HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization"

label-propagation-with-augmented-anchors

A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems

lpdc-net

CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"

manuals

mast

[IJCAI 2023] Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose Installation

metafgnet

The source code of the ECCV 2018 paper: Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data

mulpro

multiclassda

TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"

on_the_utility_of_synthetic_data

Code release for "A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation", accepted by CVPR2023.

orthdnns

Code for OrthDNNs: Orthogonal Deep Neural Networks

owttt

[ICCV 2023 Oral] Official repository for “On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion”

partnet

The source code for the TMM paper: Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network

qs3

The official implementation for ECCV22 paper: Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap