02 / research archive
Digital humans, generative models, and the graphics in between. The complete list of 21 papers, from 2020 to 2026. Representative papers are highlighted.
European Conference on Computer Vision (ECCV) 2026
A diffusion-based generative model for generating and editing photorealistic full-body avatars from text and image inputs.
Preprint
A generative model for UV seam generation that aligns with artist preferences and production requirements
ACM SIGGRAPH (Conference Track) 2026
The first pixel-space multi-view diffusion framework for texture generation.
ACM SIGGRAPH (Conference Track) 2025
A novel framework, AnimPortrait3D, for text-based realistic animatable 3DGS avatar generation with morphable model alignment.
IEEE Transactions on Circuits and Systems for Video Technology 2025
The first 3D-aware one-quarter headshot portrait generator that learns a canonical 3D avatar distribution from the 360°PHQ dataset with body pose self-learning.
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2025
A data-driven, reinforcement learning-based approach for efficient and near-optimal convex shape decomposition.
ACM SIGGRAPH Asia (Conference Track) 2025
An autoregressive pipeline for LEGO model generation.
IEEE/CVF International Conference on Computer Vision (ICCV) 2025
A masked modeling framework that learns from temporally-aware multimodal tokens to train a large, general-purpose model for egocentric 4D understanding.
ACM SIGGRAPH (Conference Track) 2025
A novel method that integrates unsupervised style from arbitrary references into a text-driven diffusion model to generate semantically consistent stylized human motion.
ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2025
A novel framework for pixel-precise texture generation from multi-view artwork.
ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2024
A novel neural rendering-based framework with a novel joint geometry-appearance prior to achieve text-to-3D-portrait generation.
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2024
An innovative diffusion-model-based framework for creating stylized textures for 3D models.
ACM SIGGRAPH Asia (Conference Track) 2024
A novel style transfer method for fine-grained control over contacts while achieving both motion naturalness and spatial temporal variations of style.
The Visual Computer 2024
A novel automatic text-guided mesh deformation method that leverages diffusion models.
Computer Animation and Virtual Worlds 2024
A novel photo-realistic portrait generation framework that can effectively mitigate the "uncanny valley" effect and improve the overall authenticity of rendered portraits.
IEEE/CVF International Conference on Computer Vision (ICCV) 2023
A large-pose Flickr face dataset comprised of 19,590 high-quality real large-pose portrait images.
ACM SIGGRAPH (Conference Track) 2023
A practical framework with a lightweight feature fusion neural network for rendering high-order scattered radiance of participating media in real time.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
A dataset and a baseline method for removing hair from portrait images using generative adversarial networks (GANs).
ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2021
A novel method that can automatically remove the double chin effect in portrait images.
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2021
The first eyelash matting dataset which contains 5,400 high-quality eyelash matting data captured from real world and 5,272 virtual eyelash matting data created by rendering avatars.
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2020
A novel system to visually predict teeth alignment in photographs.