lksmiling

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graf

Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

Language:Jupyter NotebookMIT39600

DIRV

Code for "DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection" (AAAI 2021)

Language:Python3700

HAKE-Action-Torch

HAKE-Action in PyTorch

Apache-2.021700

AlphAction

Spatio-Temporal Action Localization System

Language:Python39300

bihand

✌🏻 BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks [BMVC 2020]

Language:PythonGPL-3.09600

Parallel-Structure-for-Meshing

The code of Parallel Structure, which is used to reconstruct mesh from 3D Point Cloud.

Language:C++NOASSERTION4700

im2smpl

Predicts a SMPL model given a RGB image using clues from HMR, Simplify, AlphaPose, etc.

Language:PythonNOASSERTION8200

DeepImplicitTemplates

Implementation of "Deep Implicit Templates for 3D Shape Representation"

Language:Python15800

few-shot-vid2vid

Pytorch implementation for few-shot photorealistic video-to-video translation.

Language:PythonNOASSERTION178600

SPADE

Semantic Image Synthesis with SPADE

Language:PythonNOASSERTION755800

texturefusion

[CVPR2020] TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning

Language:C++NOASSERTION11900

GRF

🔥 General Radiance Field (ICCV, 2021)

Language:Python27800

metric-transfer.pytorch

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Language:Jupyter NotebookMIT4900

neuralvolumes

Training and Evaluation Code for Neural Volumes

Language:PythonNOASSERTION42100

ISDA-for-Deep-Networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

Language:Python57800

neural_renderer

"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

Language:PythonMIT113100

phosa

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

Language:PythonNOASSERTION17600

IPNet

Repo for "Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction, ECCV'20(Oral)""

Language:Python21900

deepGroup

Hierarchical deep neural network for activity analysis of surveillance videos at individual, group and overall level.

Language:PythonMIT900

group-detection

Structured learning for social group detection in crowds

Language:Matlab3600

frankmocap

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

Language:PythonNOASSERTION212100

PANDA-Toolkit

PANDA dataset tool kit for data visualization, splitting, merging, and result evaluation.

Language:PythonMIT9300

CloserLook3D

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

Language:PythonMIT25100

SMAP

Code for "SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation" (ECCV 2020)

Language:PythonApache-2.024000

ROMP

Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

Language:PythonApache-2.0130000

expose

ExPose - EXpressive POse and Shape rEgression

Language:PythonNOASSERTION60100

MonoPort

Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live) Monocular Real-Time Volumetric Performance Capture(ECCV 2020)

Language:PythonNOASSERTION56200

self-mono-sf

Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)

Language:PythonApache-2.024500

SkeletonNet

Code and datasets for TPAMI 2021 "SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images "

Language:C++MIT4500

ldif

3D Shape Representation with Local Deep Implicit Functions.

Language:PythonApache-2.031100