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06/29/2023
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Instruction tuning unlocks the superior capability of Large Language Mod...
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05/23/2023
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach
Recent text-to-image generation models have demonstrated impressive capa...
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12/25/2022
Learning to Estimate 3D Human Pose from Point Cloud
3D pose estimation is a challenging problem in computer vision. Most of ...
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11/24/2022
Shifted Diffusion for Text-to-image Generation
We present Corgi, a novel method for text-to-image generation. Corgi is ...
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10/25/2022
Lafite2: Few-shot Text-to-Image Generation
Text-to-image generation models have progressed considerably in recent y...
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12/07/2021
A Generic Approach for Enhancing GANs by Regularized Latent Optimization
With the rapidly growing model complexity and data volume, training deep...
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11/27/2021
LAFITE: Towards Language-Free Training for Text-to-Image Generation
One of the major challenges in training text-to-image generation models ...
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05/10/2021
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels
Learning high-dimensional distributions is an important yet challenging ...
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02/07/2021
Meta-Learning with Neural Tangent Kernels
Model Agnostic Meta-Learning (MAML) has emerged as a standard framework ...
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11/01/2020
MixKD: Towards Efficient Distillation of Large-scale Language Models
Large-scale language models have recently demonstrated impressive empiri...
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10/05/2020
Learning Manifold Implicitly via Explicit Heat-Kernel Learning
Manifold learning is a fundamental problem in machine learning with nume...
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05/16/2020
Graph Neural Networks with Composite Kernels
Learning on graph structured data has drawn increasing interest in recen...
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12/21/2019
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Human-motion generation is a long-standing challenging task due to the r...
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12/02/2019