Summary of Concept Arithmetics For Circumventing Concept Inhibition in Diffusion Models, by Vitali Petsiuk and Kate Saenko
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Modelsby Vitali Petsiuk, Kate SaenkoFirst submitted to…
Summary of Generative Modelling with High-order Langevin Dynamics, by Ziqiang Shi and Rujie Liu
Generative Modelling with High-Order Langevin Dynamicsby Ziqiang Shi, Rujie LiuFirst submitted to arxiv on: 19…
Summary of Edgefusion: On-device Text-to-image Generation, by Thibault Castells et al.
EdgeFusion: On-Device Text-to-Image Generationby Thibault Castells, Hyoung-Kyu Song, Tairen Piao, Shinkook Choi, Bo-Kyeong Kim, Hanyoung…
Summary of Ld-pruner: Efficient Pruning Of Latent Diffusion Models Using Task-agnostic Insights, by Thibault Castells et al.
LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic Insightsby Thibault Castells, Hyoung-Kyu Song, Bo-Kyeong…
Summary of Semantic Approach to Quantifying the Consistency Of Diffusion Model Image Generation, by Brinnae Bent
Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generationby Brinnae BentFirst submitted to…
Summary of Latent Guard: a Safety Framework For Text-to-image Generation, by Runtao Liu et al.
Latent Guard: a Safety Framework for Text-to-image Generationby Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng…
Summary of A Gauss-newton Approach For Min-max Optimization in Generative Adversarial Networks, by Neel Mishra et al.
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networksby Neel Mishra, Bamdev Mishra, Pratik…
Summary of High Noise Scheduling Is a Must, by Mahmut S. Gokmen et al.
High Noise Scheduling is a Mustby Mahmut S. Gokmen, Cody Bumgardner, Jie Zhang, Ge Wang,…
Summary of Tackling Structural Hallucination in Image Translation with Local Diffusion, by Seunghoi Kim et al.
Tackling Structural Hallucination in Image Translation with Local Diffusionby Seunghoi Kim, Chen Jin, Tom Diethe,…
Summary of Pixel-wise Rl on Diffusion Models: Reinforcement Learning From Rich Feedback, by Mo Kordzanganeh et al.
Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedbackby Mo Kordzanganeh, Danial Keshvary, Nariman…