https://github.com/lonnyzhang423/github-hot-hub
High-Resolution Image Synthesis with Latent Diffusion Models
Papers with Code 아카이브
Vocal Bursts Intensity Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 2
predict the intensity of 10 categorical emotions
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lorenzo-stacchio/Stable-Diffusion-Inpaint
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/lucidrains/big-sleep
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/lumingzzz/tinylic
High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation
https://github.com/lundalana/Bayesian-ID-Comparison
PyTorch: An Imperative Style, High-Performance Deep Learning Library
https://github.com/luqui/big-sleep
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/lyqcom/icnet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/magnusja/ppo
High-Dimensional Continuous Control Using Generalized Advantage Estimation
https://github.com/makefile/frcnn
https://github.com/manastahir/Nvidia--SuperSlowMo-Keras
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
https://github.com/manurare/360monodepth
360MonoDepth: High-Resolution 360° Monocular Depth Estimation
https://github.com/marius311/pypico
https://github.com/mattangus/fast-semantic-segmentation
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/mattiasxu/VQVAE-2
https://github.com/mattiasxu/Video-VQVAE
https://github.com/mayuelala/followyourpose
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/mdt48/semantic-segmentation-pytorch
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/megvii-research/basecls/tree/main/zoo/public/hrnet
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/melikaemami/Generalization-Error-of-GLMs
Generalization Error of Generalized Linear Models in High Dimensions
https://github.com/metavoiceio/metavoice-src
https://github.com/mevers/animated_dimensionality_reduction
https://github.com/microndla/mobilevitv3
https://github.com/microsoft/visual-chatgpt
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/mightypirate1/DRL-Tetris
High-Dimensional Continuous Control Using Generalized Advantage Estimation
https://github.com/milmor/latent-diffusion-transformer
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/mindslab-ai/faceshifter
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/mindslab-ai/hififace
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
https://github.com/mindspore-ai/models/tree/master/research/cv/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/mindspore-ai/models/tree/master/research/cv/ICNet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/mindspore-ai/models/tree/master/research/cv/NFNet
High-Performance Large-Scale Image Recognition Without Normalization
https://github.com/mindspore-ai/models/tree/master/research/cv/RefineNet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/mindspore-ai/models/tree/master/research/hpc/deepbsde
Solving high-dimensional partial differential equations using deep learning
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/PolarizedSelfAttention.py
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/UFOAttention.py
UFO-ViT: High Performance Linear Vision Transformer without Softmax
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/conv/HorNet.py
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
https://github.com/mindspore-lab/mindone
Deep High-Resolution Representation Learning for Human Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.