Gorilla-Lab-SCUT

DADA-AAAI2020

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).

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

HelixSurf

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

SkeletonBridgeRecon

The code for CVPR2019 Oral paper "A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images"

SRDC-CVPR2020

Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).

SSTNet

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks

SymNets

The official project for CVPR19 paper: Domain-Symmetric Networks for Adversarial Domain Adaptation

tango

[NeurIPS 2022] Official code repository for "TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition"

VISTA

This repo presents you the official code of "VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention"

Gorilla-Lab-SCUT/Fantasia3D

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

Gorilla-Lab-SCUT/frustum-convnet

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

Gorilla-Lab-SCUT/tango

[NeurIPS 2022] Official code repository for "TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition"

Gorilla-Lab-SCUT/VISTA

This repo presents you the official code of "VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention"

Gorilla-Lab-SCUT/SSTNet

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks

Gorilla-Lab-SCUT/HelixSurf

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

Gorilla-Lab-SCUT/SRDC-CVPR2020

Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).

Gorilla-Lab-SCUT/AnalyticMesh

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

Gorilla-Lab-SCUT/Visual-Auditory-Fusion-Perception

广东省“珠江人才计划”——服务机器人智能引擎平台

Gorilla-Lab-SCUT/TTAC

[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering

Gorilla-Lab-SCUT/SCUTSurface-code

Gorilla-Lab-SCUT/SS-Conv

Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Gorilla-Lab-SCUT/TRIBE

[AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization

Gorilla-Lab-SCUT/BiCo-Net

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

Gorilla-Lab-SCUT/DCL-Net

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

Gorilla-Lab-SCUT/QS3

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

Gorilla-Lab-SCUT/raycastmesh

ray cast mesh to get normal, depth and face_ids

Gorilla-Lab-SCUT/gmvs

This repo is a module for PatchMatch Stereo

Gorilla-Lab-SCUT/MAST

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

Gorilla-Lab-SCUT/TTAC2

[TPAMI 2024] The official implementation of "Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training"

Gorilla-Lab-SCUT/GPNetPP

Gorilla-Lab-SCUT/DisClusterDA

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

Gorilla-Lab-SCUT/GSF-PPF

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

Gorilla-Lab-SCUT/H-SRDC

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

Gorilla-Lab-SCUT/MulPro

Gorilla-Lab-SCUT/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.

Gorilla-Lab-SCUT/OWTTT

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

Gorilla-Lab-SCUT/STOCO

Code release for ``Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers'' accepted by ECCV 2022.

Gorilla-Lab-SCUT/SurfaceReconstructionBenchmark

Gorilla-Lab-SCUT/ViCatDA

Code release for Vicinal and categorical domain adaptation published by Pattern Recognition in 2021