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From the 1 of 16 linked papers with an AI index.

collaborators

16 papers

cs.CV2026

Poly-OPD: Heterogeneous Multi-Teacher On-Policy Distillation for Capability-Selectable Flow Models

Siming Fu, Haojun Xu, Ruizhe He +9

Leading open text-to-image models often carry complementary strengths: one may lead on preference-aligned aesthetics while another follows compositional instructions more faithfull…

cs.LG2026

Any-OPD: Heterogeneous On-Policy Distillation for Flow-Matching Models via Representation-Space Bridging

Siming Fu, Zheming Fu, Ruizhe He +7

On-policy distillation, in which a teacher corrects samples that the student itself generates, presupposes that the two models speak the same language: identical VAE latents, match…

cs.CV2026

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System

Haodong Li, Tianfei Ren, Xiaoxiao Ma +25

The paper presents VideoCoCo, a system that generates physically consistent videos by having a coding agent produce executable Blender code that defines the scene and its dynamics,…

cs.LG2026

FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted Rectification

Zheming Fu, Ruizhe He, Wei Shang +4

Aligning generative flow models on continuous spaces via online reinforcement learning is constrained by intractable trajectory likelihoods. Existing density-approximated policy gr…

cs.CV2026

Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting

Zhen Zou, Xiaoxiao Ma, Mingde Yao +3

Autoregressive (AR)-Diffusion hybrid paradigms combine AR's structured semantic modeling with diffusion's high-fidelity synthesis, yet suffer from a dual speed bottleneck: the sequ…

cs.CV2026

AnchorEdit: Maintaining Temporal Consistency in Multi-turn Image Editing via Causal Memory

Hang Xu, Xiaoxiao Ma, Guohui Zhang +7

Multi-turn image editing is essential for iterative design, yet current models often struggle with identity drift and error accumulation over successive steps. While existing resea…