most citedNative and Compact Structured Latents for 3D Generation

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

collaborators

11 papers

cs.CV2026

OctWorld: Long-Range World-Consistent Video Generation with Octree-Based 3D Mapping

Zelong Lv, Sicheng Xu, Jianfeng Xiang +5

We present OctWorld, a video diffusion framework with persistent 3D memory for generating explorable, world-consistent, and high-fidelity visual scenes. Given a single image, OctWo…

cs.CV2026

Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors

Hakyeong Kim, Ruicheng Wang, Chengtang Yao +2

Direct Time-of-Flight (dToF) sensors provide highly accurate metric depth and are more robust than indirect ToF systems in challenging real-world conditions. However, their high ma…

cs.CV2026

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement

Lingyu Kong, Ruicheng Li, Ruicheng Wang +4

Monocular geometry estimation has recently achieved impressive performance across diverse scenes. However, state-of-the-art models still face notable distortion in local 3D structu…

cs.CV2026

Map2World: Segment Map Conditioned Text to 3D World Generation

Jaeyoung Chung, Suyoung Lee, Jianfeng Xiang +2

3D world generation is essential for applications such as immersive content creation or autonomous driving simulation. Recent advances in 3D world generation have shown promising r…

cs.CV2026

Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Data

Yizhao Xu, Hongyuan Zhu, Caiyun Liu +6

3D editing refers to the ability to apply local or global modifications to 3D assets. Effective 3D editing requires maintaining semantic consistency by performing localized changes…

cs.CV2026

HiSpatial: Taming Hierarchical 3D Spatial Understanding in Vision-Language Models

Huizhi Liang, Yichao Shen, Yu Deng +5

Achieving human-like spatial intelligence for vision-language models (VLMs) requires inferring 3D structures from 2D observations, recognizing object properties and relations in 3D…

cs.CV2026★ 3 cited

ESGaussianFace: Emotional and Stylized Audio-Driven Facial Animation via 3D Gaussian Splatting

Chuhang Ma, Shuai Tan, Ye Pan +2

Most current audio-driven facial animation research primarily focuses on generating videos with neutral emotions. While some studies have addressed the generation of facial videos…

cs.CV2025★ 4 cited

Native and Compact Structured Latents for 3D Generation

Jianfeng Xiang, Xiaoxue Chen, Sicheng Xu +8

Recent advancements in 3D generative modeling have significantly improved the generation realism, yet the field is still hampered by existing representations, which struggle to cap…

cs.CV2025

VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image

Sicheng Xu, Guojun Chen, Jiaolong Yang +4

We propose VASA-3D, an audio-driven, single-shot 3D head avatar generator. This research tackles two major challenges: capturing the subtle expression details present in real human…

cs.CV2025★ 1 cited

Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes

Zhiyuan Feng, Zhaolu Kang, Qijie Wang +16

Vision-language models (VLMs) are essential to Embodied AI, enabling robots to perceive, reason, and act in complex environments. They also serve as the foundation for the recent V…

cs.CV2025★ 1 cited

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Ruicheng Wang, Sicheng Xu, Yue Dong +6

We propose MoGe-2, an advanced open-domain geometry estimation model that recovers a metric scale 3D point map of a scene from a single image. Our method builds upon the recent mon…