activity
20202026
most citedSceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections

43 citations · 144 across the 39 of their papers we have counts for

collaborators

43 papers

cs.CV2026

EgoTools: Towards Tool-Centric Reasoning in Real-World Egocentric Videos

Shulin Tian, Junsu Kim, Shuai Liu +17

Real-world embodied tasks, from everyday activities to professional procedures, require agents to act under physical constraints while tracking evolving object and task states. Too…

cs.CV2026

S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence

Yalun Dai, Hao Li, Shulin Tian +8

Real-world spatial intelligence requires reasoning over a continuous and evolving 3D world, yet existing VLMs and tool-augmented agents largely remain tied to static, stateless inf…

cs.CV2026

Apple-: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence

Runmao Yao, Kairui Hu, Yukang Cao +11

Modern video generation models are increasingly hailed as emerging world models with an internalized grasp of physical law. Yet existing benchmarks largely evaluate physical plausi…

cs.CV2026

SpatialBench: Is Your Spatial Foundation Model an All-Round Player?

Haosong Peng, Hao Li, Jiaqi Chen +10

While spatial foundation models have demonstrated impressive performance on standard datasets, a critical question remains: are they truly all-round players capable of generalizing…

cs.CV2026

PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects

Ziang Cao, Yinghao Liu, Haitian Li +5

Simulation-ready physical 3D assets have emerged as a promising direction owing to their broad applicability in downstream tasks. However, most existing 3D generation methods eithe…

cs.RO2026

Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation

Mutian Xu, Tianbao Zhang, Tianqi Liu +3

Simulating robot-world interactions is a cornerstone of Embodied AI. Recently, a few works have shown promise in leveraging video generations to transcend the rigid visual/physical…

cs.CV2026

HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human-Scene Interactions

Yukang Cao, Haozhe Xie, Fangzhou Hong +4

We present HSImul3R, a unified framework for simulation-ready 3D reconstruction of human-scene interactions (HSI) from casual captures, including sparse-view images and monocular v…

cs.CV2026

ArtHOI: Articulated Human-Object Interaction Synthesis by 4D Reconstruction from Video Priors

Zihao Huang, Tianqi Liu, Zhaoxi Chen +7

Synthesizing physically plausible articulated human-object interactions (HOI) without 3D/4D supervision remains a fundamental challenge. While recent zero-shot approaches leverage…

cs.RO2026

DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation

Haozhe Xie, Beichen Wen, Jiarui Zheng +4

Manipulating dynamic objects remains an open challenge for Vision-Language-Action (VLA) models. Although recent VLAs generalize well in static manipulation, dynamic scenes introduc…

cs.CV2026

OnlineSI: Taming Large Language Model for Online 3D Understanding and Grounding

Zixian Liu, Zhaoxi Chen, Liang Pan +1

In recent years, researchers have increasingly been interested in how to enable Multimodal Large Language Models (MLLM) to possess spatial understanding and reasoning capabilities.…

cs.CV2025

LongVie 2: Multimodal Controllable Ultra-Long Video World Model

Jianxiong Gao, Zhaoxi Chen, Xian Liu +7

Building video world models upon pretrained video generation systems represents an important yet challenging step toward general spatiotemporal intelligence. A world model should p…

cs.CV2025

PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image

Ziang Cao, Fangzhou Hong, Zhaoxi Chen +2

3D modeling is shifting from static visual representations toward physical, articulated assets that can be directly used in simulation and interaction. However, most existing 3D ge…

cs.AI2025

Simulating the Visual World with Artificial Intelligence: A Roadmap

Jingtong Yue, Ziqi Huang, Zhaoxi Chen +3

The landscape of video generation is shifting, from a focus on generating visually appealing clips to building virtual environments that support interaction and maintain physical p…

cs.CV2025

4DNeX: Feed-Forward 4D Generative Modeling Made Easy

Zhaoxi Chen, Tianqi Liu, Long Zhuo +6

We present 4DNeX, the first feed-forward framework for generating 4D (i.e., dynamic 3D) scene representations from a single image. In contrast to existing methods that rely on comp…

cs.CV2025

LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation

Jianxiong Gao, Zhaoxi Chen, Xian Liu +5

Controllable ultra-long video generation is a fundamental yet challenging task. Although existing methods are effective for short clips, they struggle to scale due to issues such a…

cs.CV2025

Reconstructing 4D Spatial Intelligence: A Survey

Yukang Cao, Jiahao Lu, Zhisheng Huang +8

Reconstructing 4D spatial intelligence from visual observations has long been a central yet challenging task in computer vision, with broad real-world applications. These range fro…

cs.CV2025

Collaborative Multi-Modal Coding for High-Quality 3D Generation

Ziang Cao, Zhaoxi Chen, Liang Pan +1

3D content inherently encompasses multi-modal characteristics and can be projected into different modalities (e.g., RGB images, RGBD, and point clouds). Each modality exhibits dist…

cs.CV2025

Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers

Zhengyao Lv, Tianlin Pan, Chenyang Si +4

Multimodal Diffusion Transformers (MM-DiTs) have achieved remarkable progress in text-driven visual generation. However, even state-of-the-art MM-DiT models like FLUX struggle with…

cs.CV2025

PhysX-3D: Physical-Grounded 3D Asset Generation

Ziang Cao, Zhaoxi Chen, Liang Pan +1

3D modeling is moving from virtual to physical. Existing 3D generation primarily emphasizes geometries and textures while neglecting physical-grounded modeling. Consequently, despi…

cs.CV2025

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation

Zhengyao Lv, Chenyang Si, Tianlin Pan +4

Diffusion Models have achieved remarkable results in video synthesis but require iterative denoising steps, leading to substantial computational overhead. Consistency Models have m…

cs.CV2025★ 1 cited

3D Scene Generation: A Survey

Haozhe Xie, Beichen Wen, Zhaoxi Chen +2

3D scene generation seeks to synthesize spatially structured, semantically meaningful, and photorealistic environments for applications such as immersive media, robotics, autonomou…

cs.CV2025

Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency

Tianqi Liu, Zihao Huang, Zhaoxi Chen +7

We present Free4D, a novel tuning-free framework for 4D scene generation from a single image. Existing methods either focus on object-level generation, making scene-level generatio…

cs.CV2025★ 3 cited

Compositional Generative Model of Unbounded 4D Cities

Haozhe Xie, Zhaoxi Chen, Fangzhou Hong +1

3D scene generation has garnered growing attention in recent years and has made significant progress. Generating 4D cities is more challenging than 3D scenes due to the presence of…

cs.CV2024★ 1 cited

3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

Zhaoxi Chen, Jiaxiang Tang, Yuhao Dong +10

The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation. Despite recent advancements in 3D generative mo…