Jun 6, 2023 · Abstract:Text-to-3D modelling has seen exciting progress by combining generative text-to-image models with image-to-3D methods like Neural ...
We present a method to train a single, amortized model to output objects for various text prompts, allowing generalization, reduced training cost, ...
We present a method to synthesize 3D objects from text prompts immediately. By using amortized optimization we can: • Generalize to new prompts – Fig. 2. • ...
We presented ATT3D, a method for amortized optimization of text-to-3D (TT3D) models. We use a mapping network from text to NERFs, enabling a single model to ...
ATT3D: Amortized Text-to-3D Object Synthesis. Jonathan Lorraine, Kevin Xie ... ‚We generate 3D object + render from unseen text in real-time. ‚ Our ...
Duration: 3:01
Posted: Jun 23, 2024
Posted: Jun 23, 2024
This paper proposes to use augmented text prompts via textual inversion of reference images to diversify the joint generation of different 3D models from ...
Our method initially trains one network to output 3D objects consistent with various text prompts. After, when we receive an unseen prompt, we produce an ...
Our framework – Amortized Text-to-3D (ATT3D) – enables knowledge sharing between prompts to generalize to unseen setups and smooth interpolations between text ...
Our framework – Amortized Text-to-3D (ATT3D) – enables knowledge sharing between prompts to generalize to unseen setups and smooth interpolations between text ...