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Author

Zhixiang Wang

13 papers indexed here

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Preprint Oct 2026

OuroWorld: Bringing Any 3D World Alive as Diverse, Endlessly Looping 3D Cinemagraphs

Recent 3D world models generate photorealistic, explorable scenes that remain frozen in time. OuroWorld is a mask-free framework that turns any static 3D Gaussian Splatting scene into a 3D cinemagraph: a dynamic scene with vivid, diverse motion looping seamlessly from any viewpoint. A vision-language model infers plaus...

You-Zhe Xie, Ting-Wei Chou, Yu-Hsuan Li et al. · 0 citations
Preprint Sep 2026

FloodDiffusion 2: Efficient and Path Controllable Streaming Motion Generation

We present FloodDiffusion 2 (FD2), an efficient and controllable framework that builds upon FloodDiffusion (FD1), a state-of-the-art streaming motion generation model. While FD1 produces plausible motion, it suffers from low efficiency and limited controllability, as its attention design requires repeated computation o...

Yi-Yi Cai, Yu-Han Wu, Kun-Hang Li et al. · 0 citations
#artificial intelligence Review Oct 2026

EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling

3D editing methods are usually tested on a single edit, yet an asset is built through a long sequence of revisions, each of which must implement the requested change while leaving everything else unchanged. We introduce EditHero, to our knowledge the first benchmark for long-horizon, part-level 3D editing, with natural...

Rui-Han Yu, Yu-Ju Tsai, Mu-Yao Niu et al. · 0 citations
Preprint Oct 2026

PROWBench: Do Video Models Render What the Program Specifies?

This work introduces PROWBench, comprising 170 programmatically constructed episodes and 600 proxy videos covering diverse scenes and interactions, and evaluates entity control, long-horizon memory, and adherence to the prescribed timeline and the visual realization of timestamped engine-recorded events.

Zheng-Hui Huang, Gui-Xu Lin, Yu-Ju Tsai et al. · 1 citation
Preprint Sep 2026

World2Motion: Turning Video World Models into 3D Human Motion Generators

World2Motion, a framework that generates scene-aware 3D human motion and corresponding video from a single image and a text prompt, and proposes a shift-decoupled noise schedule that assigns different noise levels to video and motion through shared denoising progress, reducing motion jitter.

Fang-Yuan Tu, Xiang-Yue Zhang, Yi-Yi Cai et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Triangular Resampling for Long-Horizon Motion Generation

Triangular Resampling is introduced, a post-training method for mitigating long-horizon error accumulation in motion diffusion models that addresses the mismatch between ground-truth-derived training windows and model-generated inference states.

Kun-Hang Li, Yi-Yi Cai, Xiang-Yue Zhang et al. · 0 citations
Preprint Sep 2026

Programmable World Model

The Programmable World Model is introduced, a framework that decouples world-state evolution from visual observation generation and demonstrates the effectiveness of separating explicit state evolution from generative rendering for building persistent, programmable worlds.

Zheng-Hui Huang, Gui-Xu Lin, Jia-Cheng Lin et al. · 11 citations · ⚡2
#artificial intelligence Preprint Sep 2026

KaiNinja: Extending Native 3D Generators to the Part Level

KaiNinja, a part-level extension of TRELLIS.2 built on a dual-volume form of its O-Voxel representation, is the first 3D generative model trained on agent-authored part data and finds that whole-object fidelity improves over the same backbone fine-tuned on the same dataset.

Rui-Han Yu, Lian Fu, Mu-Yao Niu et al. · 0 citations
Preprint Sep 2026

WorldSculpt: Generating Compositional Worlds from Grounded Videos

This work shows that complex scenes with hundreds of objects can instead be generated compositionally by adapting a strong single-object 3D generative prior to multi-view observations, and introduces UE-MeshyScene, a photorealistic benchmark of densely cluttered scenes with hundreds of objects, per-object annotations,...

Mu-Yao Niu, Ji-Xuan He, Rui-Han Yu et al. · 1 citation · ⚡1
Jul 2026

Generative World Renderer at the Speed of Play

AlayaRenderer-Flash is introduced, a real-time-oriented generative forward world renderer that pushes AlayaRenderer from 0.56 FPS to 31.54 FPS, reaching the speed of play.

Gui-Xu Lin, Zheng-Hui Huang, Si-Qi Yang et al. · 2 citations
Preprint Aug 2026

AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1)

The new version of AlayaWorld substantially revise how conditioning signals are represented and integrated into the model, replacing the previous depth-warping-based spatial memory with a streaming 3D point-cache renderer.

AlayaWorld Team Kaipeng Zhang, Chuan-Hao Li, Yi-Fan Zhan et al. · 5 citations · ⚡2
Jul 2026

AlayaWorld: Long-Horizon and Playable Video World Generation

AlayaWorld enables open-ended real-time interaction, allowing users to freely navigate and perform diverse actions such as combat, spell casting, and monster summoning, and the framework unifies the complete development-from data preparation model architecture, model training, inference acceleration, and deployment-wit...

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li et al. · 1 citation

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