monniert / project-webpage

Related projects: ⓘ

• rehg-lab / lowshot-shapebias
  Learning low-shot object classification with explicit shape bias learned from point clouds
  ☆43Updated 2 years ago
• XiSHEN0220 / SegSwap
  (CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
  ☆50Updated last year
• monniert / dti-sprites
  (ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper
  ☆45Updated last year
• shubhtuls / PixelTransformer
  ☆39Updated 3 years ago
• Jyxarthur / OCLR_model
  [NeurIPS 2022] Segmenting Moving Objects via an Object-Centric Representation. Junyu Xie, Weidi Xie, Andrew Zisserman.
  ☆26Updated 9 months ago
• cmu-vision / cmu-vision.github.io
  ☆13Updated 2 months ago
• google-research / sunds
  ☆24Updated 3 months ago
• taldatech / deep-latent-particles-pytorch
  [ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"
  ☆24Updated 11 months ago
• ducha-aiki / vs3-cnn-labs
  Computer vision labs for Vision and Sports Summer School 2022
  ☆10Updated 2 years ago
• zlai0 / VideoAutoencoder
  Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoenco…
  ☆176Updated 2 years ago
• YoungXIAO13 / PoseContrast
  (3DV 2021 oral) PyTorch implementation of paper "PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Con…
  ☆44Updated 9 months ago
• elicassion / 3DTRL
  Code for NeurIPS 2022 paper "Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space"
  ☆18Updated last year
• karazijal / probable-motion
  Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns
  ☆16Updated last year
• WeiWangTrento / Robust-Differentiable-SVD
  ☆72Updated 3 years ago
• shamitlal / CoCoNets
  ☆26Updated last year
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆65Updated last year
• Angtian / NeMo
  The official implementation of NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021]. https://arxiv…
  ☆88Updated 2 years ago
• hassony2 / interview-prep
  Notes on preparing for coding interviews during my PhD
  ☆66Updated 3 years ago
• tgxs002 / wikiscenes
  Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision. ICCV 2021.
  ☆42Updated 4 months ago
• rehg-lab / dope_selfsup
  ☆10Updated last year
• klnavaneet / ssl_3d_recon
  Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)
  ☆22Updated 4 years ago
• KovenYu / uORF
  Unsupervised Discovery of Object Radiance Fields
  ☆171Updated last year
• autonomousvision / frequency_bias
  Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021
  ☆45Updated 2 years ago
• cameronosmith / COLF
  Compositional Object Light Fields code
  ☆26Updated last year
• stelzner / obsurf
  Official code release for the ObSuRF model
  ☆33Updated last year
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆54Updated 2 years ago
• vLAR-group / UnsupObjSeg
  🔥Benchmarking Unsupervised Object Segmentation (NeurIPS 2022)
  ☆33Updated last year
• gkioxari / aims2022
  ☆17Updated 2 years ago
• gkakogeorgiou / spot
  [CVPR 2024 Highlight] SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
  ☆49Updated 3 months ago
• dongliangcao / Unsupervised-Deep-Multi-Shape-Matching
  ECCV22: Unsupervised Deep Multi-Shape Matching
  ☆18Updated last year