SkalskiP/top-cvpr-2023-papers: This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]

crème de la crème of CVPR 2023

image

hello

image

Computer Vision and Pattern Recognition is a massive conference. In 2023 alone, 9155 papers were submitted, and 2359 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

image

Untitled

topictitlerepository / paperFiles
Segmentation

OneFormer: One Transformer To Rule Universal Image Segmentation

https://camo.githubusercontent.com/f58dfea879c27d9296d3bf96d0341c735d89f950426d00de8aa4dcd33f60de3f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f5348492d4c6162732f4f6e65466f726d65723f7374796c653d736f6369616chttps://camo.githubusercontent.com/5bd0eced8980a0eab9ef41ff7b319e2eff73c5fc004125269b98d6660f762b2a/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e30363232302d6233316231622e737667
Segmentation

X-Decoder: Generalized Decoding for Pixel, Image and Language

https://camo.githubusercontent.com/dee1d063129b230081a7a72806e72c997037befc2d9e6d701b1467f60c2939ce/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6d6963726f736f66742f582d4465636f6465723f7374796c653d736f6369616chttps://camo.githubusercontent.com/97778e3fa77c5bd7ae40077ee9c51b6814dc472efbe3d1972fd4230efdc2c93e/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231322e31313237302d6233316231622e737667
Segmentation and Generative AI

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

https://camo.githubusercontent.com/4082b1172c3526f1be07832fbf38306fcf5db6318514a4cb3e7cf89523ebcce5/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f62616169766973696f6e2f5061696e7465723f7374796c653d736f6369616chttps://camo.githubusercontent.com/d68afea4cfb58f318ef446006d44287fddaff28a0763cf10819427cb0199a0f4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231322e30323439392d6233316231622e737667
Segmentation

PACO: Parts and Attributes of Common Objects

https://camo.githubusercontent.com/748b40fcb3086227c41d7c0013a9a35c7f1aa21163f86cd649b5aeb3faaffe4f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f66616365626f6f6b72657365617263682f7061636f3f7374796c653d736f6369616chttps://camo.githubusercontent.com/3ed766462aa74ee4b7080b3bf67738a0f07aceb112a2bffab19724c8c2b0f944/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330312e30313739352d6233316231622e737667
Segmentation

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP

https://camo.githubusercontent.com/4099a42f9054e5ea6d91c7545394bca74daf46da420d87a586d83470288657cf/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f66616365626f6f6b72657365617263682f6f762d7365673f7374796c653d736f6369616chttps://camo.githubusercontent.com/b031e20a9a01e7c598a0b470ac48d6bea2b68b073f3f2bea7605fc12e1cf90f2/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231302e30343135302d6233316231622e737667
NeRF

DynIBaR: Neural Dynamic Image-Based Rendering

https://camo.githubusercontent.com/fe427fa954683b7efa23b6885e4cd99816a57c2c13428a5b608a0cc2b7d216ee/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f676f6f676c652f64796e696261723f7374796c653d736f6369616chttps://camo.githubusercontent.com/458b9214dc062c41a3d72f292bb11dfec3a410bf1af0b8f0f91a8c5c7c553253/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e31313038322d6233316231622e737667
3D

Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition

https://camo.githubusercontent.com/4b249f012c76b403ce5ecc5023fe0404a2e3ea06393d79b8215debd2074f84c5/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f4d6f794763632f766964326176617461723f7374796c653d736f6369616chttps://camo.githubusercontent.com/956716ff40ac1eed78656e9791231f60b4efeb08378fe196c211659a5fa5eb0e/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330322e31313536362d6233316231622e737667
Generative AI

3D-aware Conditional Image Synthesis

https://camo.githubusercontent.com/b9f5b3b06101d48b4806e1c55a477c54ea2ea160d33571ae947986feed3feb39/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f64756e62617231323133382f7069783270697833643f7374796c653d736f6369616chttps://camo.githubusercontent.com/5fbf5bb06d11472d4deb1db165783b3528434311ba6fad44ac6b8cd6d834d77c/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330322e30383530392d6233316231622e737667
3D

3D Human Mesh Estimation from Virtual Markers

https://camo.githubusercontent.com/8d77bf28ab1c2df4526b030550effcee840e326a643332ceee5150ee4061416b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f536869726c65794d6178782f5669727475616c4d61726b65723f7374796c653d736f6369616chttps://camo.githubusercontent.com/0f411c11144d98b5d02d79399665f32f8ef3dcb98c260b6869ea53d786ea4497/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330332e31313732362d6233316231622e737667
Transfer Learning

A Data-Based Perspective on Transfer Learning

https://camo.githubusercontent.com/a3aa1dc20b7030b658051c9f04a8a4ffd0a91a5609363a37ac379b7a7669b766/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f4d616472794c61622f646174612d7472616e736665723f7374796c653d736f6369616chttps://camo.githubusercontent.com/634f9f2c8f9b54629a3ff479247bba784e198227226e5508e4ef0b384e26f860/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323230372e30353733392d6233316231622e737667
Segmentation

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

https://camo.githubusercontent.com/aa5618b70753c1dce9786b30f17ff18ee401cab7c5b7f979839260c07cddf57b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f4e566c6162732f4f444953453f7374796c653d736f6369616chttps://camo.githubusercontent.com/43a055e51f85e4cc62647436476df86682489dfa6d01b8c78bd64b359c948288/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330332e30343830332d6233316231622e737667
Generative AI

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

https://camo.githubusercontent.com/5b5e85f015911afd3d586f5ec55762471fd6f31c005a85f92c4ba5c4c813eb76/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f676f6f676c652f647265616d626f6f74683f7374796c653d736f6369616chttps://camo.githubusercontent.com/03866bf1414fc6fa3392e5ed0ec86fb9383f1592e6c8f2e16ea461e4a63cfede/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323230382e31323234322d6233316231622e737667
Generative AI

InstructPix2Pix: Learning to Follow Image Editing Instructions

https://camo.githubusercontent.com/6eeb90a7177504ecf03fe6876ba221056468ad08592970c962563dbf31399b92/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f74696d6f74687962726f6f6b732f696e7374727563742d706978327069783f7374796c653d736f6369616chttps://camo.githubusercontent.com/3e3c584292f21ec2d88de2fd2cc169477b6ca630c55f6a4a042a4e56eb37f31c/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e30393830302d6233316231622e737667
Generative AI

High-resolution image reconstruction with latent diffusion models from human brain activity

https://camo.githubusercontent.com/6bc559950784d279727b68bae3c6f51952c0bae76a5ce8eff8d7257932f5c74f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f79752d74616b6167692f537461626c65446966667573696f6e5265636f6e737472756374696f6e3f7374796c653d736f6369616chttps://camo.githubusercontent.com/2b25de46d055020dffcefb54d769d811ed37b3680ee00c05bb1f5a5095ae136c/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330362e31313533362d6233316231622e737667
Benchmarking

Beyond mAP: Towards better evaluation of instance segmentation

https://camo.githubusercontent.com/260c9be96d628dd7d1fe541b8309af228efdf852516ce593447c327484d5d4f8/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f726f68697472616e676f2f6265796f6e642d6d61703f7374796c653d736f6369616chttps://camo.githubusercontent.com/dafb13e7964debcf0172d0a70b35248e2f6ed7944c4275d8d8390dd327e9ef22/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323230372e30313631342d6233316231622e737667
NeRF

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

https://camo.githubusercontent.com/9795ef1502c89449d94605bd502dea4ba23e1f076d6534eacd1c3ed23e34a3a2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f53616d73756e674c6162732f5350496e2d4e6552463f7374796c653d736f6369616chttps://camo.githubusercontent.com/1bb410831cd1f297f70f6fe3bc1850694bac4180473743d5d70011f6dabd8ea5/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e31323235342d6233316231622e737667
3D

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild

https://camo.githubusercontent.com/b721e61a65c4b83624921db268fcb6dc142e30766016a1060ae41faa6bcc1815/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f66616365626f6f6b72657365617263682f6f6d6e6933643f7374796c653d736f6369616chttps://camo.githubusercontent.com/252c64b3498c59e7e7cb93205e9ae79bb97e3d867e724cd3fc0ce0e375267e9a/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323230372e31303636302d6233316231622e737667
3D

ECON: Explicit Clothed humans Optimized via Normal integration

https://camo.githubusercontent.com/96d641a8bb1c71f2562ed7e262a9e9355be2fffcfef74f45916efe3c47e1f1bc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f59756c69616e675869752f45434f4e3f7374796c653d736f6369616chttps://camo.githubusercontent.com/075f5bb7d92e5d8fd9fa8a237afa2c74ee01753b87de8f39551bef8f8cf6c1dc/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231322e30373432322d6233316231622e737667
3D

NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views

https://camo.githubusercontent.com/35fa69d58766e7f6c30cf191c76a50f36cbacbbf58888deee4de489535eb69c5/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f564954412d47726f75702f4e657572616c4c6966742d3336303f7374796c653d736f6369616chttps://camo.githubusercontent.com/c40bd52882b3ba98d564a00dbd88d35fedaf821d30102425901097f2a7d386bd/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e31363433312d6233316231622e737667

contribution

image

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.