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iVMCL's Projects

afm_cvpr2019 icon afm_cvpr2019

Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)

aognet-v2 icon aognet-v2

Official implementation of AOGNets and Attentive Normalization.

aognets icon aognets

Official implementation for our CVPR19 paper, AOGNets: Compositional Grammatical Architectures for Deep Learning

gift icon gift

GIFT: Generative Interpretable Fine-Tuning

hawp icon hawp

Holistically-Attracted Wireframe Parsing

how-3d icon how-3d

This is the official implementation code of the paper: HoW-3D: Holistic 3D Wireframe Perception from a Single Image

ircnn icon ircnn

PyTorch code for our ICCV19 paper "Towards Interpretable Object Detection by Unfolding Latent Structures" . (to be released during the conference, 10/28-11/01)

level-s2fm_official icon level-s2fm_official

This is the official codes for "Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces" accepted as CVPR2023.

logocap icon logocap

Offical code of LOGO-CAP (CVPR' 22). https://arxiv.org/abs/2109.03622

lostgans icon lostgans

Official implementation of our ICCV19 paper "Image Synthesis From Reconfigurable Layout and Style"

monocon icon monocon

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)

monoxiver icon monoxiver

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver (ICCV'23)

neat icon neat

NEAT: Distilling 3D Wireframes from Neural Attraction Fields (CVPR 2024)

nopesac icon nopesac

[TPAMI'23] NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction

pacavit icon pacavit

PyTorch implementation of PaCa-ViT (CVPR'23)

planetr3d icon planetr3d

[ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

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