12 citations · 19 across the 8 of their papers we have counts for
9 papers · 1 filter
R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow
Zijie Wu, Lixin Xu, Puhua Jiang +3
Video-guided 3D animation holds immense potential for content creation, offering intuitive and precise control over dynamic assets. However, practical deployment faces a critical y…
AnimateAnyMesh++: A Flexible Feed-Forward Framework for High-Fidelity Text-Driven Mesh Animation
Zijie Wu, Chaohui Yu, Fan Wang +1
Recent advances in 4D content generation have attracted increasing attention, yet creating high-quality animated 3D models remains challenging due to the complexity of modeling spa…
LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation
Bo Miao, Weijia Liu, Jun Luo +8
Language-conditioned goal navigation (LGN) requires embodied agents to locate user-specified targets without step-by-step guidance. However, existing benchmarks largely focus on ca…
AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation
Zijie Wu, Chaohui Yu, Fan Wang +1
Recent advances in 4D content generation have attracted increasing attention, yet creating high-quality animated 3D models remains challenging due to the complexity of modeling spa…
SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer
Zijie Wu, Chaohui Yu, Yanqin Jiang +3
Recent advances in 2D/3D generative models enable the generation of dynamic 3D objects from a single-view video. Existing approaches utilize score distillation sampling to form the…
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models
Ling Fu, Zijie Wu, Yingying Zhu +2
Scene text detection techniques have garnered significant attention due to their wide-ranging applications. However, existing methods have a high demand for training data, and obta…
SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing
Zijie Wu, Chaohui Yu, Zhen Zhu +2
Recent progress in text-to-image (T2I) models enables high-quality image generation with flexible textual control. To utilize the abundant visual priors in the off-the-shelf T2I mo…
Learning in a Single Domain for Non-Stationary Multi-Texture Synthesis
Xudong Xie, Zhen Zhu, Zijie Wu +2
This paper aims for a new generation task: non-stationary multi-texture synthesis, which unifies synthesizing multiple non-stationary textures in a single model. Most non-stationar…
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
Zijie Wu, Zhen Zhu, Junping Du +1
In this paper, we aim to devise a universally versatile style transfer method capable of performing artistic, photo-realistic, and video style transfer jointly, without seeing vide…