https://github.com/dyunis/spectral_dynamics
공식 코드Approaching Deep Learning through the Spectral Dynamics of Weights
Papers with Code 아카이브
Image Generation
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Image Generation (synthesis) is the task of generating new images from an existing dataset.
- Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
- Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.
In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.
<span style="color:grey; opacity: 0.6">( Image credit: StyleGAN )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dzld00/adaptive-feature-interpolation-for-low-shot-image-generation
공식 코드Adaptive Feature Interpolation for Low-Shot Image Generation
https://github.com/dzld00/pytorch-manifold-matching
공식 코드Manifold Matching via Deep Metric Learning for Generative Modeling
https://github.com/dzluke/DAFX2024
공식 코드Network Bending of Diffusion Models for Audio-Visual Generation
https://github.com/e4s2023/e4s2023
공식 코드E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion
https://github.com/e4s2024/e4s2024
공식 코드E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion
https://github.com/easonxiao-888/mindomni
공식 코드MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO
https://github.com/ebagdasa/adversarial_illusions
공식 코드https://github.com/eckertzhang/text2nerf
공식 코드Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
https://github.com/eckotan0804/flying-guide-dog
공식 코드https://github.com/ecnuljzhang/brush-your-text
공식 코드Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
https://github.com/ecnuycxie/DG-Font
공식 코드DG-Font: Deformable Generative Networks for Unsupervised Font Generation
https://github.com/edadepthmde/edadepth_icmla
공식 코드EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation
https://github.com/edervishaj/ganmf
공식 코드https://github.com/edibert4imagemanipulation/edibert
공식 코드https://github.com/edongdongchen/EI
공식 코드https://github.com/edongdongchen/moi
공식 코드Unsupervised Learning From Incomplete Measurements for Inverse Problems
https://github.com/edshkim98/localdiffusion-hallucination
공식 코드Tackling Structural Hallucination in Image Translation with Local Diffusion
https://github.com/eduard6421/pqpp
공식 코드PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction
https://github.com/edward1997104/Wavelet-Generation
공식 코드https://github.com/eeskimez/emotalkingface
공식 코드Speech Driven Talking Face Generation from a Single Image and an Emotion Condition
https://github.com/egshkim/ConditionalBBDM-for-VHR-SAR-to-Optical
공식 코드Conditional Brownian Bridge Diffusion Model for VHR SAR to Optical Image Translation
https://github.com/ehoogeboom/emerging
공식 코드https://github.com/eitanrich/gans-n-gmms
공식 코드https://github.com/eitanrich/lin-im2im
공식 코드The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation
https://github.com/eivindmoholdt/master-code
공식 코드Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method
https://github.com/ekcole/unsupGAN-release
공식 코드Unsupervised MRI Reconstruction with Generative Adversarial Networks
https://github.com/eladrich/latent-nerf
공식 코드Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
https://github.com/eladrich/pixel2style2pixel
공식 코드Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/eleGAN23/QGAN
공식 코드https://github.com/eleutherai/vqgan-clip
공식 코드VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
https://github.com/elhamod/phylonn
공식 코드Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
https://github.com/eliahuhorwitz/DeepSIM
공식 코드Image Shape Manipulation from a Single Augmented Training Sample
https://github.com/eliahuhorwitz/conffusion
공식 코드https://github.com/elifayten/elifaytenthesis2023
공식 코드Surrealistic-like Image Generation with Vision-Language Models
https://github.com/elischwartz/maeday
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.