6 papers
Latent Dynamics for Full Body Avatar Animation
Shichong Peng, Chengxiang Yin, Fei Jiang +7
Pose-driven full-body avatars built on neural rendering produce high-quality novel views of a captured subject. Yet loose clothing and other dynamic elements deform in ways pose al…
Linear-DPO: Linear Direct Preference Optimization for Diffusion and Flow-Matching Generative Models
Kesong Li, Yixuan Xu, Kuo-kun Tseng +3
Direct Preference Optimization (DPO) is successful for alignment in LLMs but still faces challenges in text-to-image generation. Existing studies are confined to denoising diffusio…
Image-to-Video Diffusion: From Foundations to Open Frontiers
Xianlong Wang, Wenbo Pan, Shijia Zhou +6
Diffusion-based \textit{image-to-video} (I2V) generation has become a central direction in generative models by turning a reference image, with optional conditions, into a temporal…
4-Doodle: Text to 3D Sketches that Move!
Hao Chen, Jiaqi Wang, Yonggang Qi +3
We present a novel task: text-to-3D sketch animation, which aims to bring freeform sketches to life in dynamic 3D space. Unlike prior works focused on photorealistic content genera…
Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music
Hongju Su, Ke Li, Lan Yang +2
Existing state-of-the-art symbolic music generation models predominantly adopt autoregressive or hierarchical autoregressive architectures, modelling symbolic music as a sequence o…
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
Zhipeng Chen, Lan Yang, Yonggang Qi +4
Despite the rapid advancements in text-to-image (T2I) synthesis, enabling precise visual control remains a significant challenge. Existing works attempted to incorporate multi-face…