1 citations · 1 across the 6 of their papers we have counts for
8 papers
Human-AI Co-Creativity: Advances, Opportunities, and Challenges
Adish Singla, Abhilasha Ravichander, Liwei Jiang +7
This survey article has grown out of the human-AI co-creativity workshop organized by the authors at the ICML 2026 conference. We organized this workshop as part of a community-bui…
ReNFT: Repairing Mode Collapse in Reward Post-Training via Internal Probability-Mass Recalibration
Yuchen Bao, Chao Wen, Haowei Wang +10
Reward post-training of diffusion generators inevitably concentrates probability mass on a few reward-favored modes, a mode collapse that erases within-prompt diversity. Existing m…
Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models
Chao Wen, Tung Phung, Pronita Mehrotra +4
Generative AI has democratized content creation, but popular chatbot-based interfaces often prioritize execution, generating fully rendered artifacts right away. This issue can lea…
Precise Action-to-Video Generation Through Visual Action Prompts
Yuang Wang, Chao Wen, Haoyu Guo +5
We present visual action prompts, a unified action representation for action-to-video generation of complex high-DoF interactions while maintaining transferable visual dynamics acr…
HeadGAP: Few-Shot 3D Head Avatar via Generalizable Gaussian Priors
Xiaozheng Zheng, Chao Wen, Zhaohu Li +9
In this paper, we present a novel 3D head avatar creation approach capable of generalizing from few-shot in-the-wild data with high-fidelity and animatable robustness. Given the un…
OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
Xiaozheng Zheng, Chao Wen, Zhuo Su +4
In this paper, we delve into the creation of one-shot hand avatars, attaining high-fidelity and drivable hand representations swiftly from a single image. With the burgeoning domai…
Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
Muxin Zhang, Qiao Feng, Zhuo Su +3
3D human generation is increasingly significant in various applications. However, the direct use of 2D generative methods in 3D generation often results in losing local details, wh…
SemanticBoost: Elevating Motion Generation with Augmented Textual Cues
Xin He, Shaoli Huang, Xiaohang Zhan +2
Current techniques face difficulties in generating motions from intricate semantic descriptions, primarily due to insufficient semantic annotations in datasets and weak contextual…