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Found 7 papers, 3 papers with code
InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework
Third, to effectively train the framework, we construct a large-scale character dataset containing 10-million-level samples.
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model
By combining the VLM enhanced with fine-grained region tokens and the time-dependent diffusion model, FireEdit demonstrates significant advantages in comprehending editing instructions and maintaining high semantic consistency.
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models
We present RodinHD, which can generate high-fidelity 3D avatars from a portrait image.
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
We introduce a radiance representation that is both structured and fully explicit and thus greatly facilitates 3D generative modeling.
Plan, Posture and Go: Towards Open-World Text-to-Motion Generation
Some works use the CLIP model to align the motion space and the text space, aiming to enable motion generation from natural language motion descriptions.
Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution
These elaborated designs enable our model to generate portraits with robust multi-view semantic consistency, eliminating the need for optimization-based methods.
Efficient Meshy Neural Fields for Animatable Human Avatars
Moreover, only minutes of optimization is enough for plausible reconstruction results.
