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top-cvpr-2023-papers

Computer Vision and Pattern Recognition is a massive conference. In papers were submitted, and were accepted. I created this repository to help you search for crème de la crème of · License unknown · Maintenance unknown

SkalskiP
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Segmentation
OneFormer: One Transformer To Rule Universal Image Segmentation
Segmentation and Generative AI
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
NeRF
DynIBaR: Neural Dynamic Image-Based Rendering

Specs

  • SegmentationOneFormer: One Transformer To Rule Universal Image Segmentation
  • SegmentationX-Decoder: Generalized Decoding for Pixel, Image and Language
  • Segmentation and Generative AIImages Speak in Images: A Generalist Painter for In-Context Visual Learning
  • SegmentationPACO: Parts and Attributes of Common Objects
  • SegmentationOpen-Vocabulary Semantic Segmentation with Mask-adapted CLIP
  • NeRFDynIBaR: Neural Dynamic Image-Based Rendering
  • 3DVid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition
  • Generative AI3D-aware Conditional Image Synthesis
  • 3D3D Human Mesh Estimation from Virtual Markers
  • Transfer LearningA Data-Based Perspective on Transfer Learning
  • SegmentationOpen-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
  • Generative AIDreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
  • Generative AIInstructPix2Pix: Learning to Follow Image Editing Instructions
  • Generative AIHigh-resolution image reconstruction with latent diffusion models from human brain activity
  • BenchmarkingBeyond mAP: Towards better evaluation of instance segmentation
  • NeRFSPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
  • 3DOmni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
  • 3DECON: Explicit Clothed humans Optimized via Normal integration
  • 3DNeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views

README

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top CVPR 2023 papers

2023 | 2024 | 2025

vancouver

👋 hello

Computer Vision and Pattern Recognition is a massive conference. In 2023 alone, 9,155 papers were submitted, and 2,359 were accepted. I created this repository to help you search for crème de la crème of CVPR publications. If the paper you are looking for is not on my short list, take a peek at the full list of accepted papers.

🗞️ papers

topic title repository / paper
Segmentation OneFormer: One Transformer To Rule Universal Image Segmentation GitHub arXiv
Segmentation X-Decoder: Generalized Decoding for Pixel, Image and Language GitHub arXiv
Segmentation and Generative AI Images Speak in Images: A Generalist Painter for In-Context Visual Learning GitHub arXiv
Segmentation PACO: Parts and Attributes of Common Objects GitHub arXiv
Segmentation Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP GitHub arXiv
NeRF DynIBaR: Neural Dynamic Image-Based Rendering GitHub arXiv
3D Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition GitHub arXiv
Generative AI 3D-aware Conditional Image Synthesis GitHub arXiv
3D 3D Human Mesh Estimation from Virtual Markers GitHub arXiv
Transfer Learning A Data-Based Perspective on Transfer Learning GitHub arXiv
Segmentation Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models GitHub arXiv
Generative AI DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation GitHub arXiv
Generative AI InstructPix2Pix: Learning to Follow Image Editing Instructions GitHub arXiv
Generative AI High-resolution image reconstruction with latent diffusion models from human brain activity GitHub arXiv
Benchmarking Beyond mAP: Towards better evaluation of instance segmentation GitHub arXiv
NeRF SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields GitHub arXiv
3D Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild GitHub arXiv
3D ECON: Explicit Clothed humans Optimized via Normal integration GitHub arXiv
3D NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views GitHub arXiv

🦸 contribution

We would love your help in making this repository even better! If you know of an amazing paper that isn't listed
here, or if you have any suggestions for improvement, feel free to open an
issue or submit a
pull request.