Independent publisher

Hongyang Du

Hongyang-Du

Representation Learning, Explicit/Implicit World Model, Self-supervised Learning

Models in Library1

Datasets in Library0

Models on Hugging Face3

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Published tasks: Unconditional image generation.

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Models

Model · Unconditional image generation

FuseReg

Hongyang Du

Official checkpoints for FuseReg. FuseReg replaces heuristic encoder-layer fusion in representation autoencoders (RAEs) with training over random subsets of encoder layers, so a single pixel decoder reconstructs reliably under any layer-subset fusion and pairs better with the diffusion generator. The repository currently contains 16 inference checkpoints: eight DINOv3-L k=23 decoders, two DINOv3-L k=7 decoders, and six DiT-XL generators. The k=7 p=0.3, four EUPE, and four SigLIP variants have not been published. A 25-file candidate collection is tracked in the checkpoint manifest; only entries in its files array are available for download. Checkpoint manifest records file size, SHA-256…

Open weights mit pytorch

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