Conditional Generation of Creative Chess Puzzles with Diffusion Models
This work proposes a novel approach for conditional generation of creative chess puzzles using masked diffusion models, and releases the first open-weights models for chess puzzle generation, offering a new pathway for controllable, creative generation.
Aatu Selkee, Severi Rissanen, Xi-Dong Feng et al.
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