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We introduce pix2gestalt, a framework for zero-shot amodal segmentation, which learns to estimate the shape and appearance of whole objects that are only partially visible behind occlusions.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
D. Martin, C. Fowlkes, D. Tal, and J. Malik · 2001
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
Image parsing: Unifying segmentation, detection, and recognition
Zhuowen Tu, Xiangrong Chen, Alan L Yuille, and Song-Chun Zhu · 2005
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Vision as bayesian inference: analysis by synthesis?
Alan Yuille and Daniel Kersten · 2006
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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The construction of reality in the child
Jean Piaget · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Amodal completion and size constancy in natural scenes
Abhishek Kar, Shubham Tulsiani, Joao Carreira, and Jitendra Malik · 2015
Earlier work this paper cites.
Semantic amodal segmentation
Yan Zhu, Yuandong Tian, Dimitris Metaxas, and Piotr Dollár · 2017
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Segan: Segmenting and generating the invisible
Kiana Ehsani, Roozbeh Mottaghi, and Ali Farhadi · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Image2StyleGAN: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation – A Synthetic Dataset and Baselines
Y.-T. Hu, H.-S. Chen, K. Hui, J.-B. Huang, and A. G. Schwing · 2019
Earlier work this paper cites.
Amodal instance segmentation with KINS dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Variational amodal object completion
Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, and Sanja Fidler · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Self-supervised scene de-occlusion
Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, and Chen Change Loy · 2020
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In-domain GAN inversion for real image editing
Jiapeng Zhu, Yujun Shen, Deli Zhao, and Bolei Zhou · 2020
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Segdiff: Image segmentation with diffusion probabilistic models
Tomer Amit, Tal Shaharbany, Eliya Nachmani, and Lior Wolf · 2021
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Label-efficient semantic segmentation with diffusion models
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, and Artem Babenko · 2021
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Laion-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
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A tri-layer plugin to improve occluded detection
Guanqi Zhan, Weidi Xie, and Andrew Zisserman · 2022
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Midas v3.1 – a model zoo for robust monocular relative depth estimation
Reiner Birkl, Diana Wofk, and Matthias Müller · 2023
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A morphable model for the synthesis of 3d faces
Volker Blanz and Thomas Vetter · 2023
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A. Efros · 2023
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Deep occlusion-aware instance segmentation with overlapping bilayers
Lei Ke, Yu-Wing Tai, and Chi-Keung Tang · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
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Google scanned objects: A high-quality dataset of 3D scanned household items
Laura Downs, Anthony Francis, Nate Koenig, Brandon Kinman, Ryan Hickman, Krista Reymann, Thomas B. McHugh, and Vincent Vanhoucke · 2022
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An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
Cited alongside, same era.
Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
Cited alongside, same era.
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, et al · 2023
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Tracking any object amodally, 2023
Cheng-Yen Hsieh, Tarasha Khurana, Achal Dave, and Deva Ramanan · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Humans as light bulbs: 3d human reconstruction from thermal reflection
Ruoshi Liu and Carl Vondrick · 2023
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Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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ZeroNVS: Zero-shot 360-degree view synthesis from a single real image
Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, and Jiajun Wu · 2023
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What does clip know about a red circle? visual prompt engineering for vlms
Aleksandar Shtedritski, Christian Rupprecht, and Andrea Vedaldi · 2023
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Sin3dm: Learning a diffusion model from a single 3d textured shape
Rundi Wu, Ruoshi Liu, Carl Vondrick, and Changxi Zheng · 2023
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Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, and Shalini De Mello · 2023
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3D-Aware neural body fitting for occlusion robust 3d human pose estimation
Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, and Alan Yuille · 2023
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