activity
20122024
most citedA Joint Model of Language and Perception for Grounded Attribute Learning

89 citations · 255 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2024

Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition

Yisheng He, Weihao Yuan, Siyu Zhu +3

This paper enables high-fidelity, transferable NeRF editing by frequency decomposition. Recent NeRF editing pipelines lift 2D stylization results to 3D scenes while suffering from…

cs.CV2024

IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images

Yushuang Wu, Luyue Shi, Junhao Cai +6

Generalizable 3D object reconstruction from single-view RGB-D images remains a challenging task, particularly with real-world data. Current state-of-the-art methods develop Transfo…

cs.CV20241 cited

OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation

Junhao Cai, Yisheng He, Weihao Yuan +4

This paper studies a new open-set problem, the open-vocabulary category-level object pose and size estimation. Given human text descriptions of arbitrary novel object categories, t…

cs.CV20241 cited

VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model

Qi Zuo, Xiaodong Gu, Lingteng Qiu +8

Generating multi-view images based on text or single-image prompts is a critical capability for the creation of 3D content. Two fundamental questions on this topic are what data we…

cs.CV20242 cited

Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation

Minglin Chen, Weihao Yuan, Yukun Wang +5

Recently, text-to-3D approaches have achieved high-fidelity 3D content generation using text description. However, the generated objects are stochastic and lack fine-grained contro…

cs.OH2024

DanceMeld: Unraveling Dance Phrases with Hierarchical Latent Codes for Music-to-Dance Synthesis

Xin Gao, Li Hu, Peng Zhang +2

In the realm of 3D digital human applications, music-to-dance presents a challenging task. Given the one-to-many relationship between music and dance, previous methods have been li…