FANzhaoxin666

D-IF_release

This is the official source of our ICCV 2023 paper " D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field"

EmoTalk_release

This is the official source for our ICCV 2023 paper "EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation"

FuRPE

zhaoxin-team

SVTNet

Official implement for AAAI2022 "SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition"

CVCUDA_FaceStoreHelper-release

Psyche AI Inc release source "CVCUDA_FaceStoreHelper"

EmoTalk

This is the repository for EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation

SVTNet

Official implement for AAAI2022 "SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition"

SHLE

MonoSIM

Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection

PoseRec

A simple demo of Human Pose Driven Object Effects Recommendation

snarf

Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.

FuRPE

object-deformnet

SPRIN

PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features

ttt

MinkLocMultimodal

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

Objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

deepgmr

PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)

DH3D

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Weakly-Supervised-3D-Object-Detection

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

mprm

Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds

CloserLook3D

A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

MOCO-Subtomograms

Subtomograms classification with unsupevised learning

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

BAM

Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR 2022).

RPR-Net_release

OLD_Net_release

This is the official resources for ECCV 2022 paper "Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image"