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From the 1 of 9 linked papers with an AI index.

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9 papers

cs.CV2026

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation

Yanxun Li, Hao Wen, Bingze Song +7

Recent advances in image-to-video generation have improved visual realism, making physically grounded and controllable dynamics an important step toward future world simulation. Cu…

cs.CV2026

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions

Xin Jin, Huanqia Cai, Zhen Li +9

The paper introduces Z-Reward, a teacher‑student framework that learns to predict full rubric‑aligned score distributions for text‑to‑image generation instead of single scalar rewa…

cs.CV2026

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation

Chenxi Zhao, Chen Zhu, Xiaokun Feng +6

Few-step generation has been a long-standing goal, with recent one-step generation methods exemplified by MeanFlow achieving remarkable results. Existing research on MeanFlow prima…

cs.CV2026

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation

Xiaoxiao Ma, Jiachen Lei, Tianfei Ren +6

Reinforcement learning (RL) has been successfully applied to autoregressive (AR) and diffusion models. However, extending RL to hybrid AR-diffusion frameworks remains challenging d…

cs.CV2026

ConceptWeaver: Weaving Disentangled Concepts with Flow

Jintao Chen, Aiming Hao, Xiaoqing Chen +6

Pre-trained flow-based models excel at synthesizing complex scenes yet lack a direct mechanism for disentangling and customizing their underlying concepts from one-shot real-world…

cs.LG2026

Ranking-aware Reinforcement Learning for Ordinal Ranking

Aiming Hao, Chen Zhu, Jiashu Zhu +2

Ordinal regression and ranking are challenging due to inherent ordinal dependencies that conventional methods struggle to model. We propose Ranking-Aware Reinforcement Learning (RA…