activity
20232026
most citedOpen-Vocabulary Animal Keypoint Detection with Semantic-feature Matching

19 citations · 115 across the 108 of their papers we have counts for

collaborators

120 papers

cs.AI2026

RIVER: Evidence-guided multi-agent retrieval for enzyme--reaction discovery

Yifan Chang, Yunze Li, Feifei Jiang +12

Enzyme function annotation and the identification of candidate enzymes for a given reaction are essential steps in connecting genomic information to biochemical reaction networks.…

cs.CV2026

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

Ruihan Yu, Yu-Ju Tsai, Muyao Niu +9

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…

cs.CV2026

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

Fangyuan Tu, Tu Fangyuan, Xiangyue Zhang +9

We present World2Motion, a framework that generates scene-aware 3D human motion and corresponding video from a single image and a text prompt. While existing 3D motion generators l…

cs.CV2026

Triangular Resampling for Long-Horizon Motion Generation

Kunhang Li, Yiyi Cai, Xiangyue Zhang +5

We introduce Triangular Resampling (TR), a post-training method for mitigating long-horizon error accumulation in motion diffusion models. Built on FloodDiffusion's triangular deno…

cs.CV2026

FloodDiffusion 2: Efficient and Path Controllable Streaming Motion Generation

Yiyi Cai, Yuhan Wu, Kunhang Li +6

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 pr…

cs.CV2026

Programmable World Model

Zheng-Hui Huang, Guixu Lin, Jiacheng Lin +8

Recent video world models generate increasingly realistic and interactive visual experiences, yet lack reliable mechanisms for maintaining persistent world state and enforcing prog…

cs.CV2026

WorldSculpt: Generating Compositional Worlds from Grounded Videos

Muyao Niu, Jixuan He, Ruihan Yu +9

We study the problem of generating a compositional 3D representation of a cluttered scene containing hundreds of objects. The goal is to represent the scene as a collection of indi…

cs.AI2026

Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models

Pengfei Zhou, Hexin Wang, Zhengfeiyang Zhang +5

A common strategy for scaling world models is to train on more crawled video with more compute. We argue that this strategy is inefficient: scaling world models also requires a rec…

cs.CV2026

WorldRover: A Scalable Synthetic Video Data Engine for World Exploration with Rich Annotations

Xiaojie Xu, Zhengyuan Lin, Runyi Li +3

Learning to generate or reconstruct explorable worlds requires video paired with more than RGB: camera motion, scene geometry, temporal correspondence and, for interactive models,…

cs.CV2026

Alaya-EVOKE: From Linear-Scaling Supervision to Endless World

Yuanyang Yin, Gongxuan Wang, Yifan Zhan +3

Interactive world models must support persistent memory, responsive interaction, and long-horizon generation, yet these requirements place conflicting demands on the model. Maintai…

cs.CV2026

Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination

Shuo Liang, Yixing Ma, Pengfei Zhou +33

Recent video generators can fabricate realistic depictions of wars, disasters, public emergencies, and other real-world crises, creating substantial risks of misinformation. Existi…

cs.CV2026

Marionette: Predicting World States, Rendering Geometry, Painting Appearance

Zian Meng, Zhen Li, Chuanhao Li +2

Interactive game world models typically autoregress visual observations directly in pixel or latent space, forcing structured properties such as pose, geometry, and occlusion to be…

cs.CV2026★ 1 cited

HarmoniDPO: Video-guided Audio Generation via Preference-Optimized Diffusion

Wenshuo Peng, Kaipeng Zhang

Video-to-audio (V2A) generation faces significant challenges in achieving precise temporal synchronization and high perceptual quality due to the complex, ambiguous relationship be…

cs.CV2026

Sekai2: From World Exploration to Interactive World Modeling

Kang He, Wenshuo Peng, Zihui Gao +3

Video world models must capture how scenes evolve over time and across viewpoints. Training them for long-horizon generation and camera control therefore benefits from long videos…

cs.CV2026

MASS: Multiplayer World Models with Authoritative Shared State

Ziqi Cai, Siqi Yang, Yimu Wang +6

Current video world models struggle in multiplayer environments because they entangle world state with view-dependent visual latents, leading to redundant compute, view inconsisten…

cs.CV2026

HelloWorld: Enabling Socially Interactive Characters in Video World Models

Liangyang Ouyang, Ruicong Liu, Xuangeng Chu +2

Despite the remarkable recent progress of video world models, social interaction between users and the characters within these worlds remains unsupported. To fill this gap, we pres…

cs.CV2026

GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Experience

Sitong Gong, Caixin Kang, Tianyu Yan +7

A wearable assistant should both answer questions about its visual history and recognize when that history is useful to the present situation. Existing video-memory systems primari…

cs.CV2026

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow

Jin Cao, Zian Meng, Kaipeng Zhang

We present ShadowDancer, a novel approach to any-action, frame-level control of interactive video world models. The obstacle is representational: existing interfaces either encode…

cs.CV2026

Generative World Renderer at the Speed of Play

Guixu Lin, Zheng-Hui Huang, Siqi Yang +3

Generative world renderer AlayaRenderer receives structured world states exported from physics engines and synthesizes RGB frames. Unlike models that generate frames from text/cont…

cs.CV2026

Surprise Forcing: What to Remember, When to Skip in Long Video Generation

Shuwei Shi, Zhen Li, Muyao Niu +4

Streaming autoregressive diffusion makes minute-scale video synthesis practical, but its bounded context and fixed denoising schedule allocate resources uniformly across a highly n…

cs.AI2026

AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +15

Unlike conventional video game development, which relies on labor-intensive pipelines for asset production, animation, physics, and programming, video world models generate interac…

cs.CV2026

From Pixels to States: Rethinking Interactive World Models as Game Engines

Zhen Li, Zian Meng, Shuwei Shi +4

Building interactive worlds that respond coherently to player actions has long been a shared goal of computer graphics, games, and artificial intelligence. Recent video generative…

cs.CV2026

Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos

Gong Sitong, Tianyu Yan, Caixin Kang +6

When should an intelligent assistant speak up without being asked? Continuous egocentric video offers rich, evolving context that enables a new form of assistance: one that is proa…

cs.CV2026

AlayaWorld: Long-Horizon and Playable Video World Generation

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +14

Game worlds have traditionally been built through labor-intensive production pipelines, making them costly to develop, difficult to customization, and expensive to modify after dep…