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interpretable-intuitive-physics-model

Code for ECCV2018 paper: "Interpretable Intuitive Physics Model"

interview

📚 C/C++面试基础知识总结

intrin_dirac

Intrinsic Dirac Operator

intrinsic

Repo for the paper "Intrinsic Image Decomposition via Ordinal Shading" (TOG 2023)

intrinsic-image-decomposition

A repository that contains implementation of Intrinsic Image Decomposition, based on Intrinsic Images in the Wild, a SIGGRAPH 2014 paper by Sean Bell, Kavita Bala and Noah Snavely.

intrinsic3d

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

intrinsic_flow

Pytorch implementation of the CVPR 2019 paper Dense Intrinsic Appearance Flow for Human Pose Transfer.

intrinsic_garment_space

intrinsic_video_project

intrinsicflashphotography

intrinsicgarmalign

intrinsicnerf

code for "IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis", ICCV 2023

intrinsicngp-code

Official code of paper IntrinsicNGP

intrusion-and-anomaly-detection-with-machine-learning

Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

invariantgraphnetworks

Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"

inverse-neural-radiosity

Code release for Inverse Global Illumination using a Neural Radiometric Prior

inverse_kinematics

inversehalftoning

Tensorflow based python program on deep inverse halftoning

inverserenderingofindoorscene

inverserendernet

InverseRenderNet: Learning single image inverse rendering, CVPR 2019.

inverserendernet_v2

Implementation of "Outdoor inverse rendering from a single image using multiview self-supervision"

inversetranslucent

inversetransportnetworks

Towards Learning-based Inverse Subsurface Scattering

invertible-image-rescaling

Implementation of paper: Invertible Image Rescaling

invertible-isp

[CVPR2021] Invertible Image Signal Processing

invesalius3

3D medical imaging reconstruction software

ipc

Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.

ipcdnnwalk

Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics

ipml2d

ipnet

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