8 citations · 8 across the 7 of their papers we have counts for
7 papers · 1 filter
Global Attention-Fused Image Cropping with Attention-Guided and Global-Aligned Crop Evaluator
Haotian Yang, Zhile Yang, Kin-Man Lam +2
Image cropping aims to improve image aesthetics by preserving important content within an appropriately composed region. However, most existing methods focus primarily on salient r…
DAC-Pose: Dual-Agent Collaborative Framework for Pose-Guided Human Generation
Haotian Yang, Zhile Yang, Huiyu Zhou +1
AI agents have emerged as a powerful new paradigm in generative image synthesis, enabling systems to perform complex semantic reasoning rather than passive pixel-level mapping. In…
DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers
Minglei Shi, Ziyang Yuan, Haotian Yang +10
Diffusion models have demonstrated remarkable success in various image generation tasks, but their performance is often limited by the uniform processing of inputs across varying c…
Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content
Qiuheng Wang, Yukai Shi, Jiarong Ou +10
With the continuous progress of visual generation technologies, the scale of video datasets has grown exponentially. The quality of these datasets plays a pivotal role in the perfo…
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement
Chi Wang, Junming Huang, Rong Zhang +5
Automatic 3D facial texture generation has gained significant interest recently. Existing approaches may not support the traditional physically based rendering pipeline or rely on…
VRMM: A Volumetric Relightable Morphable Head Model
Haotian Yang, Mingwu Zheng, Chongyang Ma +3
In this paper, we introduce the Volumetric Relightable Morphable Model (VRMM), a novel volumetric and parametric facial prior for 3D face modeling. While recent volumetric prior mo…
Towards Practical Capture of High-Fidelity Relightable Avatars
Haotian Yang, Mingwu Zheng, Wanquan Feng +5
In this paper, we propose a novel framework, Tracking-free Relightable Avatar (TRAvatar), for capturing and reconstructing high-fidelity 3D avatars. Compared to previous methods, T…