Human Motion Diffusion Model

guytevet/motion-diffusion-model 29 Sep 2022

In this paper, we introduce Motion Diffusion Model (MDM), a carefully adapted classifier-free diffusion-based generative model for the human motion domain.

Motion Synthesis

286
2.02 stars / hour

TabDDPM: Modelling Tabular Data with Diffusion Models

rotot0/tab-ddpm 30 Sep 2022

Denoising diffusion probabilistic models are currently becoming the leading paradigm of generative modeling for many important data modalities.

Denoising

46
1.38 stars / hour

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

XavierXiao/Dreambooth-Stable-Diffusion 25 Aug 2022

Once the subject is embedded in the output domain of the model, the unique identifier can then be used to synthesize fully-novel photorealistic images of the subject contextualized in different scenes.

Image Generation

2,048
1.34 stars / hour

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

nv-tlabs/GET3D 22 Sep 2022

As several industries are moving towards modeling massive 3D virtual worlds, the need for content creation tools that can scale in terms of the quantity, quality, and diversity of 3D content is becoming evident.

1,668
1.18 stars / hour

Offline Reinforcement Learning with Implicit Q-Learning

tinkoff-ai/CORL 12 Oct 2021

The main insight in our work is that, instead of evaluating unseen actions from the latest policy, we can approximate the policy improvement step implicitly by treating the state value function as a random variable, with randomness determined by the action (while still integrating over the dynamics to avoid excessive optimism), and then taking a state conditional upper expectile of this random variable to estimate the value of the best actions in that state.

Offline RL Q-Learning +1

86
0.94 stars / hour

Efficient Few-Shot Learning Without Prompts

huggingface/setfit 22 Sep 2022

This simple framework requires no prompts or verbalizers, and achieves high accuracy with orders of magnitude less parameters than existing techniques.

Few-Shot Learning

433
0.84 stars / hour

Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation

angeloucn/min_max_similarity 29 Mar 2022

To address this issue, we proposed a semi-supervised segmentation network based on contrastive learning.

Contrastive Learning Video Segmentation +1

126
0.83 stars / hour

Dilated Neighborhood Attention Transformer

SHI-Labs/Neighborhood-Attention-Transformer 29 Sep 2022

These models typically employ localized attention mechanisms, such as the sliding-window Neighborhood Attention (NA) or Swin Transformer's Shifted Window Self Attention.

Image Classification Instance Segmentation +2

589
0.72 stars / hour

SoundStream: An End-to-End Neural Audio Codec

google/lyra 7 Jul 2021

We present SoundStream, a novel neural audio codec that can efficiently compress speech, music and general audio at bitrates normally targeted by speech-tailored codecs.

Speech Enhancement

3,286
0.70 stars / hour