" id="header">
Publication date: October 3, 2024
Diffusion2GAN: Distilling Diffusion Models into Conditional GANs
'.$venue.''; } ?>Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
'.$note.''; } ?>
AI & Machine Learning 
Computer Vision, Imaging & Video
Publication date: October 2, 2024
Lazy Diffusion Transformer for Interactive Image Editing
'.$venue.''; } ?>Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
Graphics (2D & 3D)
Publication date: October 1, 2024
Self-supervised disentangled representation learning of artistic style through Neural Style Transfer
'.$venue.''; } ?>Dan Ruta, Gemma Canet Tarres, Alex Black, Andrew Gilbert, John Collomosse
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
Content Intelligence
Publication date: October 1, 2024
FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction
'.$venue.''; } ?>Hang Hua, Jing Shi, Kushal Kafle, Simon Jenni, Daoan Zhang, John Collomosse, Scott Cohen, Jiebo Liu
'.$note.''; } ?>- AI & Machine Learning
- Content Intelligence
Publication date: October 1, 2024
Thinking Outside the BBox: Unconstrained Generative Object Compositing
'.$venue.''; } ?>Gemma Canet Tarres, Zhe Lin, Zhifei Zhang, Jianming Zhang, Yizhe Song, Dan Ruta, Andrew Gilbert, John Collomosse, Soo Ye Kim
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
Publication date: October 1, 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
'.$venue.''; } ?>Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
Publication date: October 1, 2024
Editable Image Elements for Controllable Synthesis
'.$venue.''; } ?>Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
- Graphics (2D & 3D)
Publication date: September 30, 2024
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
'.$venue.''; } ?>Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
Publication date: September 29, 2024
ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories
'.$venue.''; } ?>Chen-Yi Lu, Shubham Agarwal, Mehrab Tanjim, Kanak Mahadik, Anup Rao, Subrata Mitra, Shiv Saini, Saurabh Bagchi, Somali Chaterji
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
Publication date: September 29, 2024
SAFARI: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation
'.$venue.''; } ?>Sayan Nag, Koustava Goswami, Srikrishna Karanam
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
Publication date: September 29, 2024
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
'.$venue.''; } ?>Dan Ruta, Gemma Canet Tarres, Andrew Gilbert, Eli Shechtman, Nick Kolkin, John Collomosse
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
- Content Intelligence
Publication date: September 29, 2024
NeAT: Neural Artistic Tracing for high resolution Style Transfer
'.$venue.''; } ?>Dan Ruta, Andrew Gilbert, John Collomosse, Eli Shechtman, Nick Kolkin
'.$note.''; } ?>- Computer Vision, Imaging & Video
- Content Intelligence
Publication date: September 29, 2024
SuperGaussian: Repurposing Video Models for 3D Super Resolution
'.$venue.''; } ?>Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Frühstück
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
- Graphics (2D & 3D)
Publication date: September 23, 2024
Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach
'.$venue.''; } ?>Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan, Apoorv Saxena
'.$note.''; } ?>- AI & Machine Learning
- Content Intelligence
Document Intelligence 
Natural Language Processing
Publication date: September 5, 2024
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
'.$venue.''; } ?>Minh Van Nguyen, Franck Dernoncourt, David Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Nguyen
'.$note.''; } ?>- AI & Machine Learning
Audio - Natural Language Processing
Publication date: September 1, 2024
ControlMat: Controlled Generative Approach to Material Capture
'.$venue.''; } ?>Giuseppe Vecchio, Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain ROUFFET, Valentin Deschaintre, Tamy Boubekeur
'.$note.''; } ?>- AI & Machine Learning
- Computer Vision, Imaging & Video
- Graphics (2D & 3D)
Publication date: August 16, 2024
KaPQA: Knowledge-Augmented Product Question-Answering
'.$venue.''; } ?>Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Karishma Bagga, David Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt
'.$note.''; } ?>- AI & Machine Learning
- Document Intelligence
- Natural Language Processing
Publication date: August 16, 2024
Multi-hop Database Reasoning with Virtual Knowledge Graph
'.$venue.''; } ?>Juhee Son, Yeon Seonwoo, Alice Oh, James Thorne, David Seunghyun Yoon
'.$note.''; } ?>- AI & Machine Learning
- Document Intelligence
- Natural Language Processing
Publication date: August 16, 2024
TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing
'.$venue.''; } ?>Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen, Saayan Mitra, Aniket Bera, Dinesh Manocha
'.$note.''; } ?>- Computer Vision, Imaging & Video
- Natural Language Processing
Publication date: August 12, 2024
Understanding News Thumbnail Representativeness by Counterfactual Text-Guided Contrastive Language-Image Pretraining
'.$venue.''; } ?>Yejun Yoon, David Seunghyun Yoon, Kunwoo Park
'.$note.''; } ?>- AI & Machine Learning
- Document Intelligence
- Natural Language Processing
