activity
20232025
most citedJointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Matrix3D: Large Photogrammetry Model All-in-One

Yuanxun Lu, Jingyang Zhang, Tian Fang +6

We present Matrix3D, a unified model that performs several photogrammetry subtasks, including pose estimation, depth prediction, and novel view synthesis using just the same model.…

cs.CV2024

EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head

Qianyun He, Xinya Ji, Yicheng Gong +11

We present a novel approach for synthesizing 3D talking heads with controllable emotion, featuring enhanced lip synchronization and rendering quality. Despite significant progress…

cs.CV2024

STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians

Yifei Zeng, Yanqin Jiang, Siyu Zhu +6

Recent progress in pre-trained diffusion models and 3D generation have spurred interest in 4D content creation. However, achieving high-fidelity 4D generation with spatial-temporal…

cs.CV2023

Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion

Yuanxun Lu, Jingyang Zhang, Shiwei Li +6

Recent advances in generative AI have unveiled significant potential for the creation of 3D content. However, current methods either apply a pre-trained 2D diffusion model with the…

cs.CV2023★ 2 cited

JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling

Jingyang Zhang, Shiwei Li, Yuanxun Lu +5

We introduce JointNet, a novel neural network architecture for modeling the joint distribution of images and an additional dense modality (e.g., depth maps). JointNet is extended f…