TL;DR
A novel approach to computationally decompose and reconstruct the painting process itself is introduced, revealing how artworks emerge through systematic region-aware brushstroke sequences that mirror a more natural artistic practice.
A striking pattern emerges: across all methods and modalities, the AI operates strictly as a spatial command executor, with collaborative and model-initiated categories entirely vacant.
Wan-Animate-2 is presented, an end-to-end character animation framework that directly consumes the driving video within a redesigned Diffusion Transformer and achieves superior motion fidelity and identity preservation by eliminating intermediate motion extractors entirely.
Addressing the lack of temporal coherence of brushstroke particles, brushstroke misalignment in moving regions, and degradation of stylistic details in digital-art image animation compositing, this paper proposes a digital-art animation compositing method based on optical-flow-guided brushstroke registration and dual-d...
This work presents a training-free multi-agent system that edits existing 3D meshes directly in Blender by emulating the iterative workflow of human artists, and views this work as an exploratory step toward visual-centric agentic geometry editing in professional graphics software.
Composition, the deliberate arrangement of visual elements, is central to how meaning, emotion, and aesthetic quality are conveyed in artwork, yet it remains among the least formalized dimensions of visual understanding. Prior work highlights a persistent gap in learning meaningful compositional representations, attrib...
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