dwctod/cvpr2024-papers-with-code-demo

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!

Hi there 👋

Welcome and hope you have a good journey.

cvpr2024-papers-with-code-demo's Issues

Please add a CVPR 2024 paper on 其他/Other, thanks!

Paper name : DiffusionLight: Light Probes for Free by Painting a Chrome Ball
Arxiv: https://arxiv.org/abs/2312.09168
Code: https://github.com/DiffusionLight/DiffusionLight
Website: https://diffusionlight.github.io/

Note that, DiffusionLight is a work on Lighting Estimation. So, it should be categorized at 其他/Other in your list.

Please add a paper on 3D object detection and segmentation

Paper name/title: Memory-based Adapters for Online 3D Scene Perception
Paper link: https://arxiv.org/abs/2403.06974
Code link: https://github.com/xuxw98/Online3D

Please add our new CVPR 2023 paper about Visible-Infrared Person Re-identification, thanks

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Paper: https://arxiv.org/abs/2303.14481
Code: https://github.com/ZYK100/LLCM
Dataset: https://github.com/ZYK100/LLCM/tree/main/LLCM%20Dataset%20Agreement

Add a new paper

Hello,

We request to add our new work OACC-Net to this awesome repo.

Tittle: Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Acronym: OACC-Net
paper: https://arxiv.org/pdf/2203.01576.pdf
code: https://github.com/YingqianWang/OACC-Net

Thanks !

Please add our CVPR2024 paper MP5: A Multi-modal Open-ended Embodied Agent

Name: MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
Paper: https://arxiv.org/abs/2312.07472
Code: https://github.com/IranQin/MP5
Website: https://iranqin.github.io/MP5.github.io/

Please add our cvpr23 paper "PolyFormer: Referring Image Segmentation as Sequential Polygon Generation”

Hi,

Can you add our paper "PolyFormer: Referring Image Segmentation as Sequential Polygon Generation"
https://arxiv.org/abs/2302.07387 to the list? It's about vision-language multi-modal learning and instance segmentation. Thank you!

Please add our paper on Adversarial Examples(对抗样本) (an oral presentation)

paper URL: https://arxiv.org/pdf/2203.06616.pdf
source code: https://github.com/jiaxiaojunQAQ/LAS-AT

Please add a CVPR 2024 paper on depth estimation, thanks!

paper name : AFNet: Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
arxiv: https://arxiv.org/pdf/2403.07535.pdf
code: https://github.com/Junda24/AFNet

Adding pape about Point Cloud Analysis

Could you please add our paper of point cloud analysis
Paper Title: Why Discard if You can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis
Paper Link:https://openaccess.thecvf.com/content/CVPR2022/papers/Chen_Why_Discard_if_You_Can_Recycle_A_Recycling_Max_Pooling_CVPR_2022_paper.pdf

Code Link:https://github.com/jiajingchen113322/Recycle_Maxpooling_Module

Please add our CVPR'22 paper on instance segmentation

Paper title: Mask Transfiner for High-Quality Instance Segmentation
Paper link: https://arxiv.org/abs/2111.13673
Code link: https://github.com/SysCV/transfiner

Please add our CVPR2023 paper about depth estimation

Hi, could you add our paper about self-supervised depth estimation?
Title: Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
Link: https://arxiv.org/abs/2211.13202
Code: https://github.com/noahzn/Lite-Mono

Thanks.

Please add our new CVPR 2023 paper about audio-driven talking head generation, thanks

SadTalker： Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

论文/Paper: https://arxiv.org/abs/2211.12194
代码/Code: https://github.com/Winfredy/SadTalker

Add a new paper

Hello, @DWCTOD

Please add our new paper RIPU to this repo.

Title: Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

paper: https://arxiv.org/pdf/2111.12940.pdf
code: https://github.com/BIT-DA/RIPU

Thank you!

Please add our Oral paper on Knowledge Distillation of 3D object detection

Could you help to add the paper the list?

Paper (Oral): Boosting 3D Object Detection by Simulating Multimodality on Point Clouds
Paper Link: https://arxiv.org/abs/2206.14971

Thanks!

Please add our CVPR2023 paper DexArt to Robotics

Here is our CVPR2023 paper: DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects

Code: https://github.com/Kami-code/dexart-release
Homepage: https://www.chenbao.tech/dexart/

Please add a CVPR 2024 paper, Logit Standardization in Knowledge Distillation.

Arxiv: https://arxiv.org/abs/2403.01427
Github: https://github.com/sunshangquan/logit-standardization-KD

Please add our CVPR 2023 paper to face reconstruction

Hi, @DWCTOD,

Could you please add our CVPR 2023 paper to the list:

Title: A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
Topic: Face reconstruction
Paper link: https://arxiv.org/pdf/2302.14434.pdf
Project Link: https://younglbw.github.io/HRN-homepage/

Thanks a lot!

cv2.waitKey(1) 4,5.1 error

Please add CVPR 2024 paper "Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation"

Paper title: Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation
Paper link: https://arxiv.org/pdf/2311.12028.pdf
Code link: https://github.com/NationalGAILab/HoT

Please add a CVPR 2024 paper on object detection, thanks!

paper name : Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
arxiv: https://arxiv.org/abs/2403.16131
code: https://github.com/xiuqhou/Salience-DETR

欢迎分享CVPR 2024 论文、代码、主页、demo / Welcome to share the paper , code, project and demo of CVPR 2024

请按照下面的格式提交/Please submit in the following format

标题/Title:
论文/Paper:
代码/Code:
其他/Other:

For example：
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
论文/Paper: http://arxiv.org/pdf/2402.18206
代码/Code: None

Please add our CVPR 2023 paper about video generation with diffusion models

Hi, @DWCTOD,

Thanks very much for your efforts to collect these papers! I am wondering whether you can add our CVPR 2023 paper:

Title: Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Paper link: https://arxiv.org/pdf/2303.13744.pdf
Code Link: https://github.com/nihaomiao/CVPR23_LFDM

Thanks a lot!

Please add our CVPR 2023 paper about self-supervised pre-trained model

Hi, @DWCTOD,

Could you please add our CVPR 2023 paper to the list:

Title: Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
Paper link: https://arxiv.org/abs/2303.17602
Project Link: https://github.com/tinyvision/SOLIDER

Thanks a lot!

Please add our CVPR paper to object detection

Hi, could you help to add our CVPR 2023 paper on object detection?
Title: Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
Paper: https://arxiv.org/abs/2209.01589
Code: https://github.com/Adamdad/ConsistentTeacher

Please update code link for our CVPR2022 paper TVConv. Many thanks!

TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing

论文/Paper: http://arxiv.org/abs/2203.10489
代码/Code: https://github.com/JierunChen/TVConv

Please add our CVPR 2023 paper on 3D Semantic Segmentation and Point Cloud

Hi, could you add our CVPR2023 paper on 3D Semantic Segmentation and Point Cloud? Thanks!

Title: Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
Link: https://arxiv.org/abs/2301.05709

Can you add our CVPR2023 paper "Generic-to-Specific Distillation of Masked Autoencoders" to the list

Paper title: Generic-to-Specific Distillation of Masked Autoencoders
Paper link: https://arxiv.org/abs/2302.14771
Code link: https://github.com/pengzhiliang/G2SD

This paper can be categorized into "Knowledge Distillation " or "Masked Autoencoders".
Thank you!

Please add our CVPR 2023 paper on backbone design

Title: Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Paper: https://arxiv.org/abs/2303.03667
Code: https://github.com/JierunChen/FasterNet