activity
20242026
most citedCityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes

3 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos

Yuxue Yang, Lue Fan, Ziqi Shi +3

In this paper, we propose NeoVerse, a versatile 4D world model that is capable of 4D reconstruction, novel-trajectory video generation, and rich downstream applications. We first i…

cs.CV2025

Uniform Discrete Diffusion with Metric Path for Video Generation

Haoge Deng, Ting Pan, Fan Zhang +8

Continuous-space video generation has advanced rapidly, while discrete approaches lag behind due to error accumulation and long-context inconsistency. In this work, we revisit disc…

cs.CV2025

GSPlane: Concise and Accurate Planar Reconstruction via Structured Representation

Ruitong Gan, Junran Peng, Yang Liu +3

Planes are fundamental primitives of 3D sences, especially in man-made environments such as indoor spaces and urban streets. Representing these planes in a structured and parameter…

cs.CV2025

VGGT-X: When VGGT Meets Dense Novel View Synthesis

Yang Liu, Chuanchen Luo, Zimo Tang +2

We study the problem of applying 3D Foundation Models (3DFMs) to dense Novel View Synthesis (NVS). Despite significant progress in Novel View Synthesis powered by NeRF and 3DGS, cu…

cs.GR2025

SIG-Chat: Spatial Intent-Guided Conversational Gesture Generation Involving How, When and Where

Yiheng Huang, Junran Peng, Silei Shen +11

The accompanying actions and gestures in dialogue are often closely linked to interactions with the environment, such as looking toward the interlocutor or using gestures to point…

cs.CV20243 cited

CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes

Yang Liu, Chuanchen Luo, Zhongkai Mao +2

Recently, 3D Gaussian Splatting (3DGS) has revolutionized radiance field reconstruction, manifesting efficient and high-fidelity novel view synthesis. However, accurately represent…