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Thinking-while-Generating: Interleaving Textual Reasoning throughout Visual Generation

CVPR 2026 · Vision-language and multimodal › Multimodal LLMs · approach: Chain-of-thought multimodal reasoning · 0 citations (OpenAlex)

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Proposes Thinking-while-Generating (TwiG), interleaving textual reasoning with autoregressive visual generation of Janus-Pro-7B across three regions, evaluated via zero-shot prompting, SFT on TwiG-50K, and GRPO-based RL on T2I-CompBench.

Problem

Existing chain-of-thought approaches to visual generation apply textual reasoning only before or after synthesis, lacking on-the-fly reasoning that guides and reflects on the image as it is being generated.

Approach

Interleave textual thoughts into the autoregressive visual token stream: each region's thought guides the next region, and a reflection step scores and locally regenerates the just-produced region within a single trajectory, with the three stages (zero-shot, SFT, RL) compared as candidate routes.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: T2I-CompBench TwiG-50K

Benchmarks: T2I-CompBench T2I-CompBench++

Metrics: Color Shape Texture Spatial Non-Spatial Complex Numeracy

Baselines: Janus-Pro-7B Think-before-generation Think-after-generation GoT T2I-R1 FLUX.1 SD-XL-base-1.0 PixArt-alpha Show-o Emu3 Attend-and-Excite Show-o + PARM

Builds on: GRPO Janus-Pro Generation with CoT T2I-CompBench

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