At the 2023 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Adobe has co-authored 44 papers, including 6 highlight papers (10% of all accepted papers and 2.5% of all submissions), 35 other main conference papers and 3 workshop papers.
Adobe authors have also contributed to the conference by co-organizing workshops, giving invited talks at the workshops, area chairing, and paper reviewing. Many of Adobe’s co-authored papers are the result of past internships and collaborations with university students and faculty.
Here is the list of Adobe’s contributions to CVPR 2023.
Highlight Papers
Language-Guided Music Recommendation for Video via Prompt Analogies
Daniel McKee, Justin Salamon, Josef Sivic, Bryan Russell
Normal-guided Garment UV Prediction for Human Re-texturing
Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan, Jimei Yang, Nathan Carr, Yi Zhou, Hyun Soo Park
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, He Zhang, Lu Ling, Bedrich Benes
REALIMPACT: A Dataset of Impact Sound Fields for Real Objects
Samuel Clarke, Ruohan Gao, Mason Wang, Mark Rau, Julia Xu, Jui-Hsien Wang, Doug L. James, Jiajun Wu
SceneComposer: Any-Level Semantic Image Synthesis
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang
Other main conference papers
Align and Attend: Multimodal Summarization with Dual Contrastive Losses
Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang
Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images
Hugo Bertiche, Niloy Mitra, Kuldeep Kulkarni, Chun-Hao P. Huang, Tuanfeng Wang, Meysam Madadi, Sergio Escalera, Duygu Ceylan
Conditional Generation of Audio From Video via Foley Analogies
Yuexi Du, Ziyang Chen, Justin Salamon, Bryan Russell, Andrew Owens
CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing
Ambareesh Revanur, Debraj Basu, Shradha Agrawal, Dhwanit Agarwal, Deepak Pai
Complete 3D Human Reconstruction from a Single Incomplete Image.
Junying Wang, Jae Shin Yoon, Tuanfeng Y. Wang, Krishna Kumar Singh, and Ulrich Neumann
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization
Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka
Domain Expansion of Image Generators
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation
Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Matthew Fisher, Zhaowen Wang, Song-Hai Zhang
GamutMLP: A Lightweight MLP for Color Loss Recovery
Hoang Le, Brian L. Price, Scott Cohen, Michael S. Brown
Grid-Guided Neural Radiance Fields for Large Urban Scenes
Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin
Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations
Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez
Language-Guided Audio-Visual Source Separation via Trimodal Consistency
Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko
LightPainter: Interactive Portrait Relighting with Freehand Scribble
Yiqun Mei, He Zhang, Xuaner Zhang, Jianming Zhang, Zhixin Shu, Yilin Wang, Zijun Wei, Shi Yan, HyunJoon Jung, Vishal M. Patel
Meta-Personalizing Vision-Language Models to Find Named Instances in Video
Chun-Hsiao Yeh, Bryan Russell, Josef Sivic, Fabian Caba Heilbron, Simon Jenni
MIME: Human-Aware 3D Scene Generation
Hongwei Yi, Chun-Hao P. Huang, Shashank Tripathi, Lea Hering, Justus Thies, Michael J. Black
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer
Agus Gunawan, Soo Ye Kim, Hyeonjun Sim, Jae-Ho Lee, Munchurl Kim
Multi-concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Neural Preset for Color Style Transfer
Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W.H. Lau
ObjectStitch: Generative Object Compositing
Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, Daniel Aliaga
Perspective Fields for Single Image Camera Calibration
Linyi Jin, Jianming Zhang, Yannick Hold-Geoffroy, Oliver Wang, Kevin Blackburn-Matzen, Matthew Sticha, David F. Fouhey
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes
Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh
Realistic Saliency Guided Image Enhancement
S. Mahdi H. Miangoleh, Zoya Bylinskii, Eric Kee, Eli Shechtman, Yağiz Aksoy
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevičius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy Mitra, Paul Guerrero
Scaling up GANs for Text-to-Image Synthesis
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
Self-Supervised Representation Learning for CAD
Benjamin Jones, Michael Hu, Milin Kodnongbua, Vladimir G. Kim, and Adriana Schulz
SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network
Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava
Single View Scene Scale Estimation using Scale Field
Byeong-Uk Lee, Jianming Zhang, Yannick Hold-Geoffroy, In So Kweon
SVGformer: Representation Learning for Continuous Vector Graphics using Transformers
Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu
TopNet: Transformer-based Object Placement Network for Image Compositing
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
Towards Open-World Segmentation of Parts
Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian Price
Towards Transferable Targeted Adversarial Examples
Zhibo Wang, Hongshan Yang, Yunhe Feng, Peng Sun, Hengchang Guo, Zhifei Zhang, Kui Ren
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training
Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu
3D Cinemagraphy from a Single Image
Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
Workshop Papers
EKILA: Synthetic Media Provenance and Attribution for Generative Art
Kar Balan, Shruti Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John Collomosse
CVPR Workshop on Media Forensics
RoSteALS: Robust Steganography using Autoencoder Latent Space
Tu Bui, Shruti Agarwal, Ning Yu and John Collomosse
CVPR Workshop on Media Forensics
Scene Graph Driven Text-Prompt Generation for Image Inpainting
Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan Turaga
GCV Workshop
Workshop Co-organizers
Srikrishna Karanam is a co-organizer of Fourth Workshop on Fair, Data-efficient, and Trusted Computer Vision
Chun-Hao Huang is a co-organizer of The first Workshop on Reconstruction of Human-Object Interactions (RHOBIN)
Paul Guerrero is a co-organizer of StruCo3D Workshop: Structural and Compositional Learning on 3D Data
Yijun Li is a co-organizer of AI4CC: AI for Content Creation Workshop
Invited Talks
Aaron Hertzmann is on a panel on Vision, Language, and Creativity
John Collomosse is on a panel at the Workshop on Media Forensics
Aaron Hertzmann is a keynote speaker at the CVFAD Workshop
John Collomosse is a keynote speaker at the Video Copy Detection Workshop
Area Chairs
Bryan Russell
Jimei Yang
John Collomosse
Aaron Hertzmann
Yijun Li
Brian L. Price
Niloy Mitra
Richard Zhang
