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Mixture of Diffusers for scene composition and high resolution image generation

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arxiv 2302.02412 v1 pith:OQGKQK7D submitted 2023-02-05 cs.CV cs.AIcs.LG

classification cs.CVcs.AIcs.LG
keywords diffusionimagescompositiondiffusersgenerateimagemethodsmixture
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Diffusion methods have been proven to be very effective to generate images while conditioning on a text prompt. However, and although the quality of the generated images is unprecedented, these methods seem to struggle when trying to generate specific image compositions. In this paper we present Mixture of Diffusers, an algorithm that builds over existing diffusion models to provide a more detailed control over composition. By harmonizing several diffusion processes acting on different regions of a canvas, it allows generating larger images, where the location of each object and style is controlled by a separate diffusion process.

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Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 12 citations worldwide. Full citation record

  1. Latent Swap Joint Diffusion for 2D Long-Form Latent Generation

    cs.SD 2025-02 conditional novelty 7.0 of 10

    A training-free latent swap method that replaces averaging with binary swapping in joint diffusion, improving long-form audio spectrum and panorama generation.

  2. CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness

    cs.CV 2026-02 unverdicted novelty 6.0 of 10

    CASR enables stable arbitrary-scale super-resolution by breaking extreme magnifications into cyclic in-distribution transitions with SSAM for structural distribution alignment and SARM for texture self-similarity pres...

  3. StableCodec: Taming One-Step Diffusion for Extreme Image Compression

    eess.IV 2025-06 conditional novelty 6.0 of 10

    A one-step diffusion codec that compresses noisy latents at 64x and decodes with a single denoising step, setting state-of-the-art FID, KID, and DISTS at ultra-low bitrates.

  4. Observable Performance Does Not Fully Reflect Adaptive System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint

    cs.LG 2026-05 unverdicted novelty 4.0 of 10

    In one Parkinson's patient, six occlusal probes produce overlapping gait scores and UMAP embeddings, so observable performance does not uniquely identify adaptive system state under VDO constraint.

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