activity
20242026
most citedID-Animator: Zero-Shot Identity-Preserving Human Video Generation

6 citations · 8 across the 16 of their papers we have counts for

collaborators

20 papers

cs.CV2026

Orbia: Do Generated Videos Form a Consistent 3D World?

Dongyue Lu, Guian Fang, Hur Lim +20

Video generators serve as interactive worlds for exploration and simulation, yet realistic and visually appealing frames do not necessarily depict a consistent 3D world. Existing b…

cs.CV2026

Unravel: Recovering an Interactive 3D Scene from a Single Image

Hui Shan, Keyang Luo, Binjia Zhou +10

We present Unravel, a training-free framework that turns a single image into an interactive 3D scene, where every object is an independent and movable asset. Existing generators ei…

cs.CV2026

Geometry as Address: Routing Attention to Visual Memory for Long-Horizon Camera-Controlled Video Generation

Zesong Yang, Weikai Chen, Liyuan Cui +10

Long-horizon camera-controlled video generation requires recovering previously observed content from an ever-growing visual history. Existing approaches either search historical co…

cs.CV2026

SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models

Junchao Huang, Guian Fang, Shengju Qian +15

We introduce SolarWM, a fully open foundation for building interactive video world models from data preparation through long-horizon inference. Training across heterogeneous data s…

cs.CV2026

CoverPrune: Coverage-Driven Token Pruning for 3D VLMs via Optimal Transport

Peng Ling, Yingda Yin, Lingting Zhu +5

While 3D Vision-Language Models (3D VLMs) have demonstrated remarkable spatial reasoning capabilities, they suffer from massive visual token counts that create severe computational…

cs.CV2026

Scenix: Sparse-View 3D Scene Reconstruction via Executable Scene Programs

Kai Li, Lutao Jiang, Zhenyang Li +10

Synthesizing a structured and editable 3D indoor scene from a few uncalibrated RGB views requires more than generating high-quality individual assets: a system must infer the room…

cs.CV2026

MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction

Dehao Hao, Kaiyi Zhang, Tanghui Jia +10

High-fidelity 3D generative modeling increasingly relies on the latent diffusion paradigm, where the reconstruction quality of the underlying 3D VAE becomes a primary bottleneck. E…

cs.CV2026

PatternGSL: A Structured Specification Language for Template-Free and Simulation-Ready 3D Garments

Zhenyang Li, Lutao Jiang, Yizhou Zhao +4

Reconstructing realistic, physically plausible garments from a single image remains a fundamental challenge. Template-free methods capture surface geometry but lack explicit sewing…

cs.CV2026

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics

Mingxian Lin, Shengju Qian, Yuqi Liu +9

Vision-language model (VLM) agents are increasingly deployed in interactive game environments. Yet game benchmarks for VLM agents typically report a single first-attempt score per…

cs.CV2026

SAP: Segment Any 4K Panorama

Lutao Jiang, Zidong Cao, Weikai Chen +14

Promptable instance segmentation is widely adopted in embodied and AR systems, yet the performance of foundation models trained on perspective imagery often degrades on 360° panora…

cs.CV2026

AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer

Lingting Zhu, Shengju Qian, Haidi Fan +6

The digital industry demands high-quality, diverse modular 3D assets, especially for user-generated content~(UGC). In this work, we introduce AssetFormer, an autoregressive Transfo…

cs.CV2025

ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning

Yifan Li, Yingda Yin, Lingting Zhu +4

Reasoning-centric video object segmentation is an inherently complex task: the query often refers to dynamics, causality, and temporal interactions, rather than static appearances.…

cs.CV2025

CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generation

Chenyu Liu, Hongze Chen, Jingzhi Bao +7

Despite major advances brought by diffusion-based models, current 3D texture generation systems remain hindered by cross-view inconsistency -- textures that appear convincing from…

cs.CV2025

LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context

Jingzhi Bao, Hongze Chen, Lingting Zhu +10

Physically-based rendering (PBR) provides a principled standard for realistic material-lighting interactions in computer graphics. Despite recent advances in generating PBR texture…

cs.CV2025

V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models

Yang Luo, Xuanlei Zhao, Baijiong Lin +7

Recent progress in generative video models, such as Veo-3, has shown surprising zero-shot reasoning abilities, creating a growing need for systematic and reliable evaluation. We in…

cs.GR2025★ 2 cited

Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes

Yuhan Wang, Weikai Chen, Zeyu Hu +19

In user-generated-content (UGC) applications, non-expert users often rely on image-to-3D generative models to create 3D assets. In this context, primitive-based shape abstraction o…

cs.CV2025

GarmentX: Autoregressive Parametric Representations for High-Fidelity 3D Garment Generation

Jingfeng Guo, Jinnan Chen, Weikai Chen +6

This work presents GarmentX, a novel framework for generating diverse, high-fidelity, and wearable 3D garments from a single input image. Traditional garment reconstruction methods…

cs.CV2025

MAR-3D: Progressive Masked Auto-regressor for High-Resolution 3D Generation

Jinnan Chen, Lingting Zhu, Zeyu Hu +4

Recent advances in auto-regressive transformers have revolutionized generative modeling across different domains, from language processing to visual generation, demonstrating remar…

cs.CV2025

MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Agentic Post-Processing

Lingting Zhu, Jingrui Ye, Runze Zhang +8

Current methods for 3D generation still fall short in physically based rendering (PBR) texturing, primarily due to limited data and challenges in modeling multi-channel materials.…

cs.CV2024★ 6 cited

ID-Animator: Zero-Shot Identity-Preserving Human Video Generation

Xuanhua He, Quande Liu, Shengju Qian +5

Generating high-fidelity human video with specified identities has attracted significant attention in the content generation community. However, existing techniques struggle to str…