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20242026
most citedA Mechanistic View on Video Generation as World Models: State and Dynamics

1 citations · 1 across the 12 of their papers we have counts for

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cs.CV2026

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives

Kaixin Ding, Xi Chen, Minghong Cai +9

Video world models simulate future states conditioned on current observations and user actions. Recent systems have demonstrated impressive video consistency and action controllabi…

cs.CV2026

Geometry-Instructed Video Editing

Chirui Chang, Xiaoyang Lyu, Yi-Hua Huang +7

Object-level geometric edits, including translating, rotating, scaling, duplicating, or removing an object, are routine operations in digital content creation (DCC) workflows, yet…

cs.CV2026

CapRiCorn-1K: A Comprehensive Benchmark for Video Captioning and Subject Referential Consistency Across Temporal Scales

Xinlong Chen, Jiafu Tang, Yue Ding +12

Accurate and comprehensive video captions with consistent subject references are critical for downstream understanding and generation tasks. However, few existing benchmarks can ob…

cs.CV2026

UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating

Jiehui Huang, Yuechen Zhang, Bin Xia +7

Generating a coherent multi-shot video requires structured cross-shot memory. Subject appearance, scene context, and speaker identity must persist across cuts. Existing approaches…

cs.CV2026

Stable Velocity: A Variance Perspective on Flow Matching

Donglin Yang, Yongxing Zhang, Xin Yu +5

While flow matching is elegant, its reliance on single-sample conditional velocities leads to high-variance training targets that destabilize optimization and slow convergence. By…

cs.CV2026

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation

Longtao Jiang, Jianmin Bao, Zhendong Wang +4

Normalizing flows (NFs) provide exact likelihoods and deterministic invertible sampling, but have historically lagged behind diffusion models for large-scale image generation. We i…