Papers text-to-3d-human
“text-to-3d-human” 태그가 달린 논문 7편 · 필터 해제
Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System
Creating detailed 3D human avatars with garments typically requires specialized expertise and labor-intensive processes. Although recent advances in generative AI have enabled text-to-3D human/clothing generation, curren…
DiversityLanguage ModelingLanguage ModellingLarge Language Model+2DreamReward: Text-to-3D Generation with Human Preference
3D content creation from text prompts has shown remarkable success recently. However, current text-to-3D methods often generate 3D results that do not align well with human preferences. In this paper, we present a compre…
3D GenerationText to 3Dtext-to-3d-humanText2Avatar: Text to 3D Human Avatar Generation with Codebook-Driven Body Controllable Attribute
Generating 3D human models directly from text helps reduce the cost and time of character modeling. However, achieving multi-attribute controllable and realistic 3D human avatar generation is still challenging due to fea…
AttributeDisentanglementText to 3Dtext-to-3d-humanPaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation
Recent advances in zero-shot text-to-3D human generation, which employ the human model prior (eg, SMPL) or Score Distillation Sampling (SDS) with pre-trained text-to-image diffusion models, have been groundbreaking. Howe…
Text to 3Dtext-to-3d-humanText-to-3D-Human GenerationText-guided 3D Human Generation from 2D Collections
3D human modeling has been widely used for engaging interaction in gaming, film, and animation. The customization of these characters is crucial for creativity and scalability, which highlights the importance of controll…
3D geometrytext-to-3d-humanText-to-3D-Human GenerationTMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis
In this paper, we present TMR, a simple yet effective approach for text to 3D human motion retrieval. While previous work has only treated retrieval as a proxy evaluation metric, we tackle it as a standalone task. Our me…
Moment RetrievalMotion GenerationMotion SynthesisRetrieval+2AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain
This paper presents an unsupervised domain adaptation (UDA) method for predicting unlabeled target domain data, specific to complex UDA tasks where the domain gap is significant. Mainstream UDA models aim to learn from b…
Deep ClusteringDomain AdaptationSelf-Supervised Learningtext-to-3d-human+1