[2022.09.01]
Learning in Audio-visual Context: A Review, Analysis, and New Perspective

[2022.09.16]
Sound-Guided Semantic Image Manipulation

[2022.09.19]
CLIPstyler: Image Style Transfer with a Single Text Condition

[2022.09.20]
CRIS: CLIP-Driven Referring Image Segmentation
Multimodal Conditional Image Synthesis with Product-of-Experts GANs

[2022.09.22]
AVSBench

[2022.09.27]
EZ-VSL

[2022.10.05]
PIPNET

[2022.10.11]
Music datasets

[2022.10.14]
Easy way Inference

[2022.10.17]
Localizing Visual Sounds the Easy Way

[2022.10.20]
A Simple Framework for Contrastive Learning of Visual Representations

[2022.10.31]
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

[2022.11.07]
2022 cvpr eccv diffusion accepted paper list

[2022.11.28]
Implicit Representation Using Neural Network

[2022.11.29]
Vision-Language Pre-training: Basic, Recent Advances, and Future Trends

[2022.11.30]
GANtoDffusion

[2022.12.06]
Awesome CLIP

[2022.12.12]
Paint by Example: Exemplar-based Image Editing with Diffusion Models

[2022.12.13]
FrozenCLIPImageEmbedder

[2022.12.15]
Video Editing
Depth-aware Image Stylization

[2022.12.16]
Domain Adaptation of image stylizaition, manipulation

[2022.12.19]
Story Visualization

[2022.12.21]
Text2LIVE Result
Stablediffusion Inpainting Video

[2023.01.04]
Stable Diffusion Code Review

[2023.01.05]
DDPM vs. DDIM
Text2Live_firewood

[2023.01.10]
Houdini Effect

[2023.01.11]
WeeklyMeeting_Conditional Diffusion for Text-Guided Video Editing
Houdini Python Scripting

[2023.01.16]
Text2Live Inference

[2023.01.19]
WeeklyMeeting_Text-Guided Video Visual Effect Adding Temporal VQ-VAE of Diffusion Latent Space

[2023.02.02]
WeeklyMeeting_Temporal Consistency in Video Editing

[2023.02.03]
Evaluation Metrics

[2023.02.09]
Video Editing Baseline

[2023.02.12]
Optical Flow(RAFT)

[2023.02.15]
Progressive Mask Shrinking

[2023.02.16]
WeeklyMeeting_Sound2Video

[2023.02.17]
feedback

[2023.02.21]
Pexels dataset
writing class
related work citation

[2023.04.10]
CLAP

[2023.04.12]
Video Dissuion model investigation