There are 2 repositories under iccv2021 topic.
ICCV 2023 论文和开源项目合集
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699
Semi-Supervised Learning, Object Detection, ICCV2021
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Hybrid Neural Fusion for Full-frame Video Stabilization
(ICCV'21) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing" by Aiyu Cui, Daniel McKee and Svetlana Lazebnik
Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral
Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
[ICCV2021 & TPAMI2023] Vision-Language Transformer and Query Generation for Referring Segmentation
ICCV 2021 paper with code
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021
code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
[ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)