ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal Conditions

Documenti analoghi

• CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
  di: Chong, Zheng, et al.
  Pubblicazione: (2024)
• CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation
  di: Chong, Zheng, et al.
  Pubblicazione: (2025)
• GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections
  di: Zhang, Shiyue, et al.
  Pubblicazione: (2024)
• FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
  di: Chong, Zheng, et al.
  Pubblicazione: (2025)
• ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving
  di: Huang, Jiehui, et al.
  Pubblicazione: (2024)