# Repository: amusi/CVPR2026-Papers-with-Code
# Stars: 22419

## README.md

# CVPR 2026 论文和开源项目合集(Papers with Code)

CVPR 2026 decisions are now available on OpenReview！25.42% = 4090 / 16092


> 注1：欢迎各位大佬提交issue，分享CVPR 2026论文和开源项目！
>
> 注2：关于往年CV顶会论文以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision
>
> - [ICCV 2025](https://github.com/amusi/ICCV2025-Papers-with-Code)
> - [ECCV 2024](https://github.com/amusi/ECCV2024-Papers-with-Code)


欢迎扫码加入【CVer学术交流群】，可以获取CVPR 2026等最前沿工作！这是最大的计算机视觉AI知识星球！每日更新，第一时间分享最新最前沿的计算机视觉、AIGC、扩散模型、多模态、深度学习、自动驾驶、医疗影像和遥感等方向的学习资料，快加入学起来！

![](CVer学术交流群.png)

# 【CVPR 2026 论文开源目录】

- [3DGS(Gaussian Splatting)](#3DGS)
- [Agent)](#Agent)
- [Avatars](#Avatars)
- [Backbone](#Backbone)
- [CLIP](#CLIP)
- [Mamba](#Mamba)
- [Embodied AI](#Embodied-AI)
- [GAN](#GAN)
- [GNN](#GNN)
- [多模态大语言模型(MLLM)](#MLLM)
- [大语言模型(LLM)](#LLM)
- [具身智能(Embodied AI)](#Embodied)
- [空间智能(Spatial Intelligence](#SI)
- [NAS](#NAS)
- [OCR](#OCR)
- [NeRF](#NeRF)
- [DETR](#DETR)
- [扩散模型(Diffusion Models)](#Diffusion)
- [ReID(重识别)](#ReID)
- [长尾分布(Long-Tail)](#Long-Tail)
- [Vision Transformer](#Vision-Transformer)
- [视觉和语言(Vision-Language)](#VL)
- [自监督学习(Self-supervised Learning)](#SSL)
- [数据增强(Data Augmentation)](#DA)
- [目标检测(Object Detection)](#Object-Detection)
- [异常检测(Anomaly Detection)](#Anomaly-Detection)
- [目标跟踪(Visual Tracking)](#VT)
- [语义分割(Semantic Segmentation)](#Semantic-Segmentation)
- [实例分割(Instance Segmentation)](#Instance-Segmentation)
- [全景分割(Panoptic Segmentation)](#Panoptic-Segmentation)
- [医学图像(Medical Image)](#MI)
- [医学图像分割(Medical Image Segmentation)](#MIS)
- [视频目标分割(Video Object Segmentation)](#VOS)
- [视频实例分割(Video Instance Segmentation)](#VIS)
- [参考图像分割(Referring Image Segmentation)](#RIS)
- [图像抠图(Image Matting)](#Matting)
- [图像编辑(Image Editing)](#Image-Editing)
- [Low-level Vision](#LLV)
- [超分辨率(Super-Resolution)](#SR)
- [去噪(Denoising)](#Denoising)
- [去模糊(Deblur)](#Deblur)
- [自动驾驶(Autonomous Driving)](#Autonomous-Driving)
- [3D点云(3D Point Cloud)](#3D-Point-Cloud)
- [3D目标检测(3D Object Detection)](#3DOD)
- [3D语义分割(3D Semantic Segmentation)](#3DSS)
- [3D目标跟踪(3D Object Tracking)](#3D-Object-Tracking)
- [3D语义场景补全(3D Semantic Scene Completion)](#3DSSC)
- [3D配准(3D Registration)](#3D-Registration)
- [3D人体姿态估计(3D Human Pose Estimation)](#3D-Human-Pose-Estimation)
- [3D人体Mesh估计(3D Human Mesh Estimation)](#3D-Human-Pose-Estimation)
- [3D Visual Grounding(3D视觉定位)](#3DVG)
- [医学图像(Medical Image)](#Medical-Image)
- [图像生成(Image Generation)](#Image-Generation)
- [视频生成(Video Generation)](#Video-Generation)
- [3D生成(3D Generation)](#3D-Generation)
- [视频理解(Video Understanding)](#Video-Understanding)
- [行为检测(Action Detection)](#Action-Detection)
- [遥感(Remote)](#Remote)
- [文本检测(Text Detection)](#Text-Detection)
- [知识蒸馏(Knowledge Distillation)](#KD)
- [模型剪枝(Model Pruning)](#Pruning)
- [图像压缩(Image Compression)](#IC)
- [视频压缩(Video Compression)](#VC)
- [三维重建(3D Reconstruction)](#3D-Reconstruction)
- [深度估计(Depth Estimation)](#Depth-Estimation)
- [轨迹预测(Trajectory Prediction)](#TP)
- [车道线检测(Lane Detection)](#Lane-Detection)
- [图像描述(Image Captioning)](#Image-Captioning)
- [视觉问答(Visual Question Answering)](#VQA)
- [手语识别(Sign Language Recognition)](#SLR)
- [视频预测(Video Prediction)](#Video-Prediction)
- [新视点合成(Novel View Synthesis)](#NVS)
- [Zero-Shot Learning(零样本学习)](#ZSL)
- [立体匹配(Stereo Matching)](#Stereo-Matching)
- [特征匹配(Feature Matching)](#Feature-Matching)
- [暗光图像增强(Low-light Image Enhancement)](#Low-light)
- [场景图生成(Scene Graph Generation)](#SGG)
- [图像检索(Image Retrieval)](#Image-Retrieval)
- [风格迁移(Style Transfer)](#ST)
- [隐式神经表示(Implicit Neural Representations)](#INR)
- [图像质量评价(Image Quality Assessment)](#IQA)
- [视频质量评价(Video Quality Assessment)](#Video-Quality-Assessment)
- [压缩感知(Compressive Sensing)](#CS)
- [数据集(Datasets)](#Datasets)
- [新任务(New Tasks)](#New-Tasks)
- [其他(Others)](#Others)

<a name="3DGS"></a>

# 3DGS(Gaussian Splatting)

**Dropping Anchor and Spherical Harmonics for Sparse-view Gaussian Splatting**

- Paper: https://arxiv.org/abs/2602.20933
- Code: 
- Project: https://sk-fun.fun/DropAnSH-GS

**Topology-Aware Gaussian Splatting for Dynamic Mesh Modeling and Tracking**

- Paper: https://arxiv.org/abs/2512.01329
- Project: https://haza628.github.io/tagSplat/

**FastGS: Training 3D Gaussian Splatting in 100 Seconds**

- Paper: https://arxiv.org/pdf/2511.04283
- Code: https://github.com/fastgs/FastGS
- Project: https://fastgs.github.io/


<a name="Agent"></a>

# Agent




<a name="Avatars"></a>

# Avatars


# Backbone




<a name="CLIP"></a>

# CLIP



<a name="Mamba"></a>

# Mamba



<a name="GAN"></a>

# GAN

<a name="OCR"></a>

# OCR


<a name="NeRF"></a>

# NeRF



<a name="DETR"></a>

# DETR




<a name="Prompt"></a>

# Prompt

<a name="MLLM"></a>

# 多模态大语言模型(MLLM)

**Circuit Tracing in Vision-Language Models: Understanding the Internal Mechanisms of Multimodal Thinking**

- Paper: https://arxiv.org/abs/2602.20330
- Code: https://github.com/UIUC-MONET/vlm-circuit-tracing

**UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark**

- Paper: https://arxiv.org/abs/2603.05075
- Code: 
- Project: https://any2any-mllm.github.io/unim/



<a name="LLM"></a>

# 大语言模型(LLM)


<a name="Embodied-AI"></a>


# 具身智能(Embodied AI)

**Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI**

- Paper: https://arxiv.org/abs/2511.20620
- Code: https://github.com/ai4ce/wanderland
- Project: https://ai4ce.github.io/wanderland/


<a name="SI"></a>


# 空间智能(Spatial Intelligence)

**Spatial-SSRL: Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning**

- Paper: https://arxiv.org/abs/2510.27606
- Code: https://github.com/InternLM/Spatial-SSRL
- Model: https://huggingface.co/internlm/Spatial-SSRL-7B


<a name="NAS"></a>

# NAS

<a name="ReID"></a>

# ReID(重识别)


**MOS: Mitigating Optical-SAR Modality Gap for Cross-Modal Ship Re-Identification**

- Paper: https://arxiv.org/abs/2512.03404
- Code: https://github.com/yjzhao1019/MOS


<a name="Diffusion"></a>

# 扩散模型(Diffusion Models)



<a name="Vision-Transformer"></a>

# Vision Transformer



<a name="VL"></a>

# 视觉和语言(Vision-Language)

**StructXLIP: Enhancing Vision-language Models with Multimodal Structural Cues**

- Paper: https://arxiv.org/abs/2602.20089
- Code: https://github.com/intelligolabs/StructXLIP

**ApET: Approximation-Error Guided Token Compression for Efficient VLMs**

- Paper: https://arxiv.org/abs/2602.19870
- Code: https://github.com/MaQianKun0/ApET

**Circuit Tracing in Vision-Language Models: Understanding the Internal Mechanisms of Multimodal Thinking**

- Paper: https://arxiv.org/abs/2602.20330
- Code: https://github.com/UIUC-MONET/vlm-circuit-tracing


<a name="Object-Detection"></a>

# 目标检测(Object Detection)




<a name="Anomaly-Detection"></a>

# 异常检测(Anomaly Detection)



<a name="VT"></a>

# 目标跟踪(Object Tracking)




<a name="MI"></a>

# 医学图像(Medical Image)





# 医学图像分割(Medical Image Segmentation)

**MedCLIPSeg: Probabilistic Vision–Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation**

- Paper: https://arxiv.org/abs/2602.20423
- Code: https://github.com/HealthX-Lab/MedCLIPSeg
- Project: https://tahakoleilat.github.io/MedCLIPSeg

<a name="Autonomous-Driving"></a>

# 自动驾驶(Autonomous Driving)

**Open-Vocabulary Domain Generalization in Urban-Scene Segmentation**

- Paper: https://arxiv.org/pdf/2602.18853
- Code: https://github.com/DZhaoXd/s2_corr

**U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences**

- Paper: https://arxiv.org/abs/2512.02982
- Code: https://github.com/worldbench/U4D


# 3D点云(3D-Point-Cloud)

**CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation**

- Paper: https://arxiv.org/abs/2602.20409
- Code: https://github.com/SarthakM320/CLIPoint3D


<a name="3DOD"></a>

# 3D目标检测(3D Object Detection)



<a name="3DOD"></a>

# 3D语义分割(3D Semantic Segmentation)





<a name="LLV"></a>

# Low-level Vision



<a name="SR"></a>

# 超分辨率(Super-Resolution)




<a name="Denoising"></a>

# 去噪(Denoising)

## 图像去噪(Image Denoising)

<a name="3D-Human-Pose-Estimation"></a>

# 3D人体姿态估计(3D Human Pose Estimation)



<a name="3DVG"></a>

#3D Visual Grounding(3D视觉定位)




<a name="Image-Generation"></a>

# 图像生成(Image Generation)


ExpPortrait: Expressive Portrait Generation via Personalized Representation

- Paper: https://arxiv.org/abs/2602.19900
- Code: 


<a name="Video-Generation"></a>

# 视频生成(Video Generation)




<a name="Image-Editing"></a>

# 图像编辑(Image Editing)



<a name="Video-Editing"></a>

# 视频编辑(Video Editing)



<a name="3D-Generation"></a>

# 3D生成(3D Generation)




<a name="3D-Reconstruction"></a>

# 3D重建(3D Reconstruction)

**tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction**

- Project: https://cwchenwang.github.io/tttLRM/
- Paper: https://arxiv.org/abs/2602.20160
- Code: https://github.com/cwchenwang/tttLRM

**Flow3r: Factored Flow Prediction for Scalable Visual Geometry Learning**

- Project: https://flow3r-project.github.io/
- Paper: https://arxiv.org/abs/2602.20157
- Code: https://github.com/Kidrauh/flow3r

**RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction for Efficient 3D Gaussian Splatting Processing**

- Paper: https://arxiv.org/abs/2602.19753
- Code: https://github.com/yyyykf/RAP


<a name="HMG"></a>

# 人体运动生成(Human Motion Generation)

<a name="Video-Understanding"></a>

# 视频理解(Video Understanding)





<a name="Remote"></a>

# 遥感(Remote)

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation

- Paper: https://arxiv.org/abs/2602.19863
- Code: None


<a name="KD"></a>

# 知识蒸馏(Knowledge Distillation)

<a name="Depth-Estimation"></a>


# 深度估计(Depth Estimation)




<a name="Stereo-Matching"></a>

# 立体匹配(Stereo Matching)


<a name="Low-light"></a>

# 暗光图像增强(Low-light Image Enhancement)





<a name="IC"></a>

# 图像压缩(Image Compression)](#IC)



<a name="VC"></a>

# 视频压缩(Video Compression)](#VC)

**UniComp: Rethinking Video Compression Through Informational Uniqueness**

- Paper: https://arxiv.org/abs/2512.03575
- Code: https://github.com/TimeMarker-LLM/UniComp



<a name="SGG"></a>

# 场景图生成(Scene Graph Generation)


<a name="Image-Retrieval"></a>

# 图像检索(Image Retrieval)

**PinPoint: Evaluation of Composed Image Retrieval with Explicit Negatives, Multi-Image Queries, and Paraphrase Testing
**

- Paper: https://arxiv.org/abs/2603.04598
- Code: 


<a name="ST"></a>

# 风格迁移(Style Transfer)



<a name="IQA"></a>

# 图像质量评价(Image Quality Assessment)



<a name="Video-Quality-Assessment"></a>

# 视频质量评价(Video Quality Assessment)

<a name="CS"></a>

# 压缩感知(Compressive Sensing)



<a name="Datasets"></a>

# 数据集(Datasets)




<a name="Others"></a>

# 其他(Others)

**Decoupling Defense Strategies for Robust Image Watermarking**

- Paper: https://arxiv.org/abs/2602.20053
- Code: None

**Multi-Modal Representation Learning via Semi-Supervised Rate Reduction for Generalized Category Discovery**

- Paper: https://arxiv.org/abs/2602.19910
- Code: 

**The Invisible Gorilla Effect in Out-of-distribution Detection**

- Paper: https://arxiv.org/abs/2602.20068
- Code: https://github.com/HarryAnthony/Invisible_Gorilla_Effect

**SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images**

- Paper: https://arxiv.org/abs/2602.20412
- Code: 

**RecoverMark: Robust Watermarking for Localization and Recovery of Manipulated Faces**

- Paper: https://arxiv.org/abs/2602.20618
- Code: 

**Probing and Bridging Geometry-Interaction Cues for Affordance Reasoning in Vision Foundation Models**

- Paper:
- Code: 

**GEM-TFL: Bridging Weak and Full Supervision for Forgery Localization through EM-Guided Decomposition and Temporal Refinement**

- Paper: https://arxiv.org/abs/2603.05095
- Code: 


**FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation**

- Paper: https://arxiv.org/abs/2603.04733
- Code: https://github.com/eVI-group-SCU/FOZO

**Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
**

- Paper: https://arxiv.org/abs/2603.04825
- Code: https://github.com/RyanZhaoIc/CAD