A task is worth one word: Learning with task prompts for high-quality versatile image inpainting
Advancing image inpainting is challenging as it requires filling user-specified regions for
various intents, such as background filling and object synthesis. Existing approaches focus …
various intents, such as background filling and object synthesis. Existing approaches focus …
Generative ai meets 3d: A survey on text-to-3d in aigc era
Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …
generation being the most practical as it facilitates interaction between human instructions …
Freemotion: A unified framework for number-free text-to-motion synthesis
Text-to-motion synthesis is a crucial task in computer vision. Existing methods are limited in
their universality, as they are tailored for single-person or two-person scenarios and can not …
their universality, as they are tailored for single-person or two-person scenarios and can not …
Rodinhd: High-fidelity 3d avatar generation with diffusion models
We present RodinHD, which can generate high-fidelity 3D avatars from a portrait image.
Existing methods fail to capture intricate details such as hairstyles which we tackle in this …
Existing methods fail to capture intricate details such as hairstyles which we tackle in this …
Towards High-Fidelity 3D Portrait Generation with Rich Details by Cross-View Prior-Aware Diffusion
Recent diffusion-based Single-image 3D portrait generation methods typically employ 2D
diffusion models to provide multi-view knowledge, which is then distilled into 3D …
diffusion models to provide multi-view knowledge, which is then distilled into 3D …
ClotheDreamer: Text-Guided Garment Generation with 3D Gaussians
High-fidelity 3D garment synthesis from text is desirable yet challenging for digital avatar
creation. Recent diffusion-based approaches via Score Distillation Sampling (SDS) have …
creation. Recent diffusion-based approaches via Score Distillation Sampling (SDS) have …