AI for Content Creation Workshop

Award-Winning Papers from Past AI4CC Workshops

Xiang Fan et al., AI4CC 2026
RefDecoder: Enhancing Visual Generation with Conditional Video Decoding

Xiaodan Du et al., AI4CC 2026
Teaching an Agent to Sketch One Part at a Time

Wenyan Cong et al., AI4CC 2025
VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment

Xiaoyan Cong et al., AI4CC 2025
Art3D: Training-Free 3D Generation from Flat-Colored Illustration

Sihyun Yu et al., AI4CC 2025
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation

Sandra Zhang Ding et al., AI4CC 2025
Training-Free Sketch-Guided Diffusion with Latent Optimization

Jeong et al., AI4CC 2024
Visual Style Prompting with Swapping Self-Attention

Zheng et al., AI4CC 2024
Towards Safer AI Content Creation by Immunizing Text-to-image Models

Barquero et al., AI4CC 2024
Seamless Human Motion Composition with Blended Positional Encodings

Matsunaga et al., AI4CC 2023
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models

Zhang et al., AI4CC 2023
Text-to-image Editing by Image Information Removal

Jain et al., AI4CC 2022
Zero-Shot Text-Guided Object Generation with Dream Fields

Lee, Lee, Kim, Choi, & Kim, AI4CC 2022
Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN

Jang, Villegas, Yang, Ceylan, Sun, & Lee, AI4CC 2022
RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects

Poirier-Ginter, Alexandre Lessard, Ryan Smith, Jean-François Lalonde, AI4CC 2022
Overparameterization Improves StyleGAN Inversion

Jahn et al., AI4CC 2021
High-Resolution Complex Scene Synthesis with Transformers

Rombach, Esser, and Ommer, AI4CC 2020
Network Fusion for Content Creation with Conditional INNs

Cha et al., AI4CC 2020
Toward High-quality Few-shot Font Generation with Dual Memory

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Summary

Content creation underpins photography, film and video, gaming, virtual and augmented reality, art, design, fashion, and advertising. In just a few years, generative AI has compressed work that once took hours of painstaking manual effort into seconds of automated or interactive creation. Text-to-image models now produce photorealistic and stylized imagery on demand, while video generation and world models synthesize long, temporally consistent—and increasingly interactive and controllable—clips and environments. Rapid progress in 3D and 4D generation, neural rendering, and Gaussian splatting is bringing the same leap to objects, avatars, and dynamic scenes, and unified multi-modal models now tie together text, image, video, and audio for any-to-any creation. Beyond raw synthesis, the community is advancing instruction-based and controllable editing, real-time and on-device generation, identity- and physics-consistent results, and agentic pipelines that plan and compose creative tasks. These capabilities also raise pressing questions of control, attribution, safety, and bias—while offering powerful new sources of synthetic training data for downstream vision tasks in 2D, video, and 3D.

The AI for Content Creation workshop explores this exciting and fast-moving research area. We bring together invited speakers of world-class expertise in content creation, up-and-coming researchers, and authors of submitted workshop papers, to engage in a day filled with learning, discussion, and network building.

Welcome! —

James Tompkin (Brown University) Krishna Kumar Singh (Adobe) Jun-Yan Zhu (Carnegie Mellon University) Yuheng Li (Adobe) Deqing Sun (Google) Lingjie Liu (University of Pennsylvania) Lu Jiang (ByteDance) Yiqing Liang (Luma AI) Thao Nguyen (UW-Madison)

2026 Schedule

All times in MDT (Mountain Daylight Time, UTC-6) — Room 610/612, Colorado Convention Center, Denver, CO, USA

	Time
	8:25	Welcome and introductions	👋
	8:30	Rana Hanocka (University of Chicago)—3D Generation and Editing
	9:00	Alan Yuille (Johns Hopkins University)—Building Representations
	9:30	Christian Theobalt (Max-Planck-Institute for Informatics)—4D Humans
	10:00	Poster Session (with coffee) — Exhibit Hall A, Boards 108–121 (see accepted papers for board assignments)	☕
	11:00	Orals RefDecoder: Enhancing Visual Generation with Conditional Video Decoding🏆 Best Paper Xiang Fan, Yuheng Wang, Bohan Fang, Jason Ren, Ranjay Krishna arXivPDFProject pageBoard 108A Style-Instructed Mask-Free Virtual Try On Mengqi Zhang, Qi Li, Mehmet Saygin Seyfioglu, Karim Bouyarmane arXivPDFProject pageBoard 108B Pixels to Layers: Turning Generated Infographics into Editable Assets Abhay Bhandarkar, Raghav Kaushik Ravi, Vineeth Balasubramanian PDFSupplementaryBoard 109A Magnitude-preserving Layers for GANs Can Produce Small High-quality Models Nick Huang, Jackson Woodleigh, Aaron Gokaslan, Xinjie Yi, James Tompkin PDFBoard 109B Teaching an Agent to Sketch One Part at a Time🏆 Best Paper Runner-up Xiaodan Du, Ruize Xu, David Yunis, Yael Vinker, Greg Shakhnarovich arXivPDFProject pageBoard 110A FlowStyle: Flow-Guided Diffusion for Image-Guided Shot-Level Video Stylization Boyuan Zhu, Ruiqi Liu, Rui Ma PDFBoard 110B
	11:30	Taesung Park (Reve)—Controllable Image Generation
	12:00	Saining Xie (New York University, AMI Labs)—Representations and World Models
	12:30	Closing Remarks	👋

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2026 Awards 🏆

Best Paper

Best Paper Runner-up

2026 Accepted Papers

Congratulations to all accepted authors!

Oral presentations

Poster presentations

Papers accepted at other venues

We also welcome these recently published works for poster presentation.

Please email Thao (thao.nguyen@wisc.edu) to add/edit paper arXiv or project pages. Thank you!

Previous Workshops (including session videos)

• 2025 - AI for Content Creation (Workshop at CVPR 2025).
• 2024 - AI for Content Creation (Workshop at CVPR 2024).
• 2023 - AI for Content Creation (Workshop at CVPR 2023).
• 2022 - AI for Content Creation (Workshop at CVPR 2022).
• 2021 - AI for Content Creation (Workshop at CVPR 2021).
• 2020 - AI for Content Creation (Workshop at CVPR 2020).
• 2019 - Deep Learning for Content Creation (Tutorial at CVPR 2019)