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

9 citations · 11 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

SplatAnything: Gaussian Spacing Normalization for Feed-forward 3DGS across Arbitrary Scenes

Hao Yu, Zhenwei Wang, Yongzhen Hu +7

We identify a key limitation of existing feed-forward 3DGS methods: Gaussian attributes are typically predicted in a radial-distance-normalized space that canonicalizes a global ra…

cs.CV2026

OmniX: Any-view and Any-time 4D Reconstruction via Feed-forward Trajectory Fields

Yanqin Jiang, Tengfei Wang, Zhengwei Wang +6

Previous feed-forward 4D reconstruction methods either predict per-frame static point clouds, ignoring foreground motion, or estimate point cloud trajectories while being limited t…

cs.CV2025

WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Wenqiang Sun, Haiyu Zhang, Haoyuan Wang +7

This paper presents WorldPlay, a streaming video diffusion model that enables real-time, interactive world modeling with long-term geometric consistency, resolving the trade-off be…

cs.CV2025★ 1 cited

WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting

Yifan Liu, Zhiyuan Min, Zhenwei Wang +5

We present WorldMirror, a unified feed-forward model for comprehensive 3D geometric prediction tasks. Unlike existing methods constrained to image-only inputs or customized for a s…

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.CV2023★ 1 cited

Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object Tracking

Yiheng Liu, Junta Wu, Yi Fu

Multi-object tracking (MOT) at low frame rates can reduce computational, storage and power overhead to better meet the constraints of edge devices. Many existing MOT methods suffer…