activity
20232026
most citedHunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

9 citations · 17 across the 12 of their papers we have counts for

collaborators

12 papers

cs.RO2026

BICPO-VLA: Behavior-Identified Continuation Preference Optimization for Smooth Asynchronous Vision-Language-Action Control

Ming Shang, Yuchen Huang, Jiaoyang Chen +8

The request-to-handoff gap has three coupled sources: ambiguity about the behavior intended at request time, physical-state drift accumulated during action generation, and residual…

cs.RO2026

PBD-AG: Persistent Baseline-Delta Active Graphs with Uncertainty-Aware Inspection for Long-Horizon Service Robots

Shuo Bao, Wei Dong, Shuyue Zhang +8

Long-horizon service robots require persistent world models that can be built autonomously in unseen environments and revised as task-relevant objects change. Existing methods rely…

cs.CV2026

SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation

Ling Wang, Hao-Xiang Guo, Xinzhou Wang +9

We introduce SceneTransporter, an end-to-end framework for structured 3D scene generation from a single image. While existing methods generate part-level 3D objects, they often fai…

cs.GR2025

Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization

Yikai Wang, Guangce Liu, Xinzhou Wang +5

The advancement of 4D (i.e., sequential 3D) generation opens up new possibilities for lifelike experiences in various applications, where users can explore dynamic objects or chara…

cs.CV2025★ 9 cited

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Zibo Zhao, Zeqiang Lai, Qingxiang Lin +71

We present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets. This system includes two foundation components: a large-sca…

cs.AI2024★ 6 cited

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions

Kai Sun, Siyan Xue, Fuchun Sun +12

Recent advancements in deep learning have significantly revolutionized the field of clinical diagnosis and treatment, offering novel approaches to improve diagnostic precision and…

cs.CV2024

Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation

Xianghui Yang, Huiwen Shi, Bowen Zhang +20

While 3D generative models have greatly improved artists' workflows, the existing diffusion models for 3D generation suffer from slow generation and poor generalization. To address…

cs.CV2024★ 1 cited

Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels

Yikai Wang, Xinzhou Wang, Zilong Chen +3

Video generative models are receiving particular attention given their ability to generate realistic and imaginative frames. Besides, these models are also observed to exhibit stro…

cs.CV2024

Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence

Ling Wang, Runfa Chen, Yikai Wang +6

Unsupervised non-rigid point cloud shape correspondence underpins a multitude of 3D vision tasks, yet itself is non-trivial given the exponential complexity stemming from inter-poi…

cs.CV2024

DreamReward: Text-to-3D Generation with Human Preference

Junliang Ye, Fangfu Liu, Qixiu Li +5

3D content creation from text prompts has shown remarkable success recently. However, current text-to-3D methods often generate 3D results that do not align well with human prefere…

cs.CV2024★ 1 cited

Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding

Pengkun Liu, Yikai Wang, Fuchun Sun +4

Encouraged by the growing availability of pre-trained 2D diffusion models, image-to-3D generation by leveraging Score Distillation Sampling (SDS) is making remarkable progress. Mos…

cs.CV2023

AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation

Xinzhou Wang, Yikai Wang, Junliang Ye +7

Advances in 3D generation have facilitated sequential 3D model generation (a.k.a 4D generation), yet its application for animatable objects with large motion remains scarce. Our wo…