What is recorded here?
Trained bidirectional image-token prediction on random masks and generated images through parallel prediction and iterative refinement rather than fixed raster-order decoding.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Discrete image tokenization and masked modeling have predecessors. Parallel refinement changes the generation procedure and is not exact sampling of the raster-autoregressive model. Reported speedup depends on token count, schedule and hardware.
Read the original work
- MaskGIT: Masked Generative Image Transformer
- Chang et al.: MaskGIT bidirectional masked image refinement — author/institutional project
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People and systems
Huiwen Chang; Han Zhang; Lu Jiang; Ce Liu; William T. Freeman
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Chang et al.: MaskGIT bidirectional masked image refinement
Trained bidirectional image-token prediction on random masks and generated images through parallel prediction and iterative refinement rather than fixed raster-order decoding.
Scientific scope
Discrete image tokenization and masked modeling have predecessors. Parallel refinement changes the generation procedure and is not exact sampling of the raster-autoregressive model. Reported speedup depends on token count, schedule and hardware.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Huiwen Chang; Han Zhang; Lu Jiang; Ce Liu; William T. Freeman
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.