MaLiang-Harness: A Programmable Path to Image and Video Generation

arXiv:2609.34309 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/gulucaptain/MaLiang-Harness

Terminology

• Verification — 19× in this paper · explained in 2 episodes
• Alignment — 14× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Revision-aware Editing and Verification — 7× in this paper
• Aggregation — 6× in this paper · explained in 1 episode
• Diffusion Model — 6× in this paper · explained in 8 episodes
• Diffusion Models — 6× in this paper · explained in 6 episodes
• Persistent Executable Generation — 6× in this paper
• Trace — 6× in this paper · explained in 2 episodes
• Traceable Generation Process — 4× in this paper
• Unified Framework — 3× in this paper · explained in 5 episodes
• Agent Harness — 2× in this paper · explained in 2 episodes
• Agentic Loop — 2× in this paper · explained in 1 episode
• Flow Matching — 2× in this paper · explained in 8 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agentic Task — 1× in this paper · explained in 1 episode
• Agentic Tasks — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Prompt Adherence — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• State Management — 1× in this paper · explained in 3 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• Show-Harness: Just a VLM Agent Can Play Robots
• Flow Matching for Generative Modeling
• Code as Agent Harness
• Kimi K2.5: Visual Agentic Intelligence
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• OmniHarness: Harnessing Generalizable Visual Generation via Symbolic Policy Learning

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