What is this?
A curated, continuously updated index of CVPR 2026 papers and their open-source code implementations, organized by computer vision topic (object detection, segmentation, 3D reconstruction, diffusion models, multimodal LLMs, etc.).
A curated, continuously updated index of CVPR 2026 papers and their open-source code implementations, organized by computer vision topic (object detection, segmentation, 3D reconstruction, diffusion models, multimodal LLMs, etc.).Is this a dataset, a paper, or a reading list?It is a single README-based index: a big table of contents by research topic, with each paper entry linking to its Paper, Code, and sometimes Project page.
It is a single README-based index: a big table of contents by research topic, with each paper entry linking to its Paper, Code, and sometimes Project page.How is the list organized and how do I find what I want?Entries are grouped under dozens of topic headings (3DGS, MLLM, Object Detection, Semantic Segmentation, Autonomous Driving, etc.); jump to a topic section and each accepted paper is listed with links to its paper, code repo, and project page if available.
Entries are grouped under dozens of topic headings (3DGS, MLLM, Object Detection, Semantic Segmentation, Autonomous Driving, etc.); jump to a topic section and each accepted paper is listed with links to its paper, code repo, and project page if available.Does every paper here have released code?No — many topic sections are still empty placeholders, and some listed papers show 'Code: None', meaning code has not been released or the paper hasn't been added yet.
No — many topic sections are still empty placeholders, and some listed papers show 'Code: None', meaning code has not been released or the paper hasn't been added yet.Is this only for CVPR 2026, or does it cover other years too?It is specifically for CVPR 2026, but the author maintains sister lists for past years' top CV conferences like ICCV 2025 and ECCV 2024, linked at the top of the README.
It is specifically for CVPR 2026, but the author maintains sister lists for past years' top CV conferences like ICCV 2025 and ECCV 2024, linked at the top of the README.What is the acceptance rate mentioned at the top?The README states CVPR 2026 accepted 4090 out of 16092 submissions, a 25.42% acceptance rate, based on OpenReview decisions.
The README states CVPR 2026 accepted 4090 out of 16092 submissions, a 25.42% acceptance rate, based on OpenReview decisions.Where should a beginner start if they just want to browse recent CV research trends?Jump straight to a hot topic section like Diffusion Models, Multimodal LLMs, or 3D Gaussian Splatting, since these are organized as sub-headings within the single README table of contents.
Jump straight to a hot topic section like Diffusion Models, Multimodal LLMs, or 3D Gaussian Splatting, since these are organized as sub-headings within the single README table of contents.What are similar projects?CVPR2024-Paper-Code-Interpretation, VisionHOPE, awesome-semantic-segmentation, awesome-deep-vision, Awesome-pytorch-list, detectron2, Deep-Learning-Papers-Reading-Roadmap, nnUNet_att_position_correction
CVPR2024-Paper-Code-Interpretation, VisionHOPE, awesome-semantic-segmentation, awesome-deep-vision, Awesome-pytorch-list, detectron2, Deep-Learning-Papers-Reading-Roadmap, nnUNet_att_position_correctionWhich topics is it in?cvpr, semantic-segmentation, image-segmentation, object-detection, papers, paper, transformers, academic-research, transformer, image-processing, awesome, computer-vision
cvpr, semantic-segmentation, image-segmentation, object-detection, papers, paper, transformers, academic-research, transformer, image-processing, awesome, computer-vision