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cs.CV2026

WorldRecon: Generative Multi-View Mesh Reconstruction for Large-Scale 3D World

Mengchen Zhang, Yang Li, Chunshi Wang +2

Reconstructing complete, high-quality meshes of large-scale scenes from unposed multi-view images requires faithful geometric grounding while plausibly completing surfaces that are…

cs.CV2026

Align-VAE: Aligning Attention and Geometry in VecSet VAEs for 3D Reconstruction

Huaizhi Qu, Mingxin Yang, Xintong Han +2

Set-based variational autoencoders (VecSet VAEs) represent 3D shapes as compact sets of latent tokens. Although each token originates from a query at a sampled surface location, wh…

cs.CV2026

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow

Zijie Wu, Lixin Xu, Puhua Jiang +3

Video-guided 3D animation holds immense potential for content creation, offering intuitive and precise control over dynamic assets. However, practical deployment faces a critical y…

cs.CV2026

ROAR-3D: Routing Arbitrary Views for High-Fidelity 3D Generation

Hanxiao Sun, Mingxin Yang, Shuhui Yang +5

Single-image-to-3D generative models can now produce high-quality geometry, yet conditioning on a single view inevitably introduces ambiguity about unseen regions. Multi-view condi…

cs.CV2026

Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence

Zebin He, Mingxin Yang, Shuhui Yang +4

Existing 3D foundation models typically align point clouds to frozen vision-language spaces like CLIP, which achieve strong cross-modal retrieval by compressing 3D shape into a glo…

cs.CV2026

PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World

Yunhan Yang, Chunshi Wang, Junliang Ye +7

Synthesizing physics-grounded 3D assets is a critical bottleneck for interactive virtual worlds and embodied AI. Existing methods predominantly focus on static geometry, overlookin…

cs.CV2026

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds

Team HY-World, Chenjie Cao, Xuhui Zuo +42

We introduce HY-World 2.0, a multi-modal world model framework that advances our prior project HY-World 1.0. HY-World 2.0 accommodates diverse input modalities, including text prom…

cs.CV2026

Repurposing 3D Generative Model for Autoregressive Layout Generation

Haoran Feng, Yifan Niu, Zehuan Huang +3

We introduce LaviGen, a framework that repurposes 3D generative models for 3D layout generation. Unlike previous methods that infer object layouts from textual descriptions, LaviGe…

cs.CV2026

ArtLLM: Generating Articulated Assets via 3D LLM

Penghao Wang, Siyuan Xie, Hongyu Yan +4

Creating interactive digital environments for gaming, robotics, and simulation relies on articulated 3D objects whose functionality emerges from their part geometry and kinematic s…

cs.CV2026

WorldStereo: Bridging Camera-Guided Video Generation and Scene Reconstruction via 3D Geometric Memories

Yisu Zhang, Chenjie Cao, Tengfei Wang +4

Recent advances in foundational Video Diffusion Models (VDMs) have yielded significant progress. Yet, despite the remarkable visual quality of generated videos, reconstructing cons…

cs.CV2026

Mesh-Pro: Asynchronous Advantage-guided Ranking Preference Optimization for Artist-style Quadrilateral Mesh Generation

Zhen Zhou, Jian Liu, Biwen Lei +10

Reinforcement learning (RL) has demonstrated remarkable success in text and image generation, yet its potential in 3D generation remains largely unexplored. Existing attempts typic…

cs.CV2025

Part-X-MLLM: Part-aware 3D Multimodal Large Language Model

Chunshi Wang, Junliang Ye, Yunhan Yang +6

We introduce Part-X-MLLM, a native 3D multimodal large language model that unifies diverse 3D tasks by formulating them as programs in a structured, executable grammar. Given an RG…

cs.CV2025

MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis

Di Luo, Shuhui Yang, Mingxin Yang +6

Physically-based rendering (PBR) materials are fundamental to photorealistic graphics, yet their creation remains labor-intensive and requires specialized expertise. While generati…

cs.CV2025

QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models

Jian Liu, Chunshi Wang, Song Guo +9

The generation of quadrilateral-dominant meshes is a cornerstone of professional 3D content creation. However, existing generative models generate quad meshes by first generating t…

cs.CV2025

PoseMaster: A Unified 3D Native Framework for Stylized Pose Generation

Hongyu Yan, Kunming Luo, Weiyu Li +5

Pose stylization, which aims to synthesize stylized content aligning with target poses, serves as a fundamental task across 2D, 3D, and video domains. In the 3D realm, prevailing a…