Bitwise Self Correction Mechanism For Iterative Quality Improvement

via “bitwise self-correction mechanism for iterative quality improvement”

[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Unique: Leverages bitwise prediction structure to enable fine-grained self-correction at the bit level, allowing targeted refinement of specific image regions without full regeneration. This is unique to bitwise autoregressive approaches and not feasible in token-level or diffusion models.

vs others: Enables iterative quality improvement without full image regeneration, reducing latency overhead compared to regenerating entire images. Bitwise granularity provides finer control than token-level refinement.