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James R Lucas

2 accepted papers

2024

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis

ECCV 2024poster

"Recent text-to-3D generation approaches produce impressive 3D results but require time-consuming optimization that can take up to an hour per prompt. Amortized methods like ATT3D optimize multiple prompts simultaneously to improve efficiency, enabling fast text-to-3D synthesis. However, they cannot…

2021

On Monotonic Linear Interpolation of Neural Network Parameters

ICML 2021spotlight

Linear interpolation between initial neural network parameters and converged parameters after training with stochastic gradient descent (SGD) typically leads to a monotonic decrease in the training objective. This Monotonic Linear Interpolation (MLI) property, first observed by Goodfellow et al. 201…

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