Summary of Conditional Balance: Improving Multi-conditioning Trade-offs in Image Generation, by Nadav Z. Cohen et al.
Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generationby Nadav Z. Cohen, Oron Nir, Ariel ShamirFirst…
Summary of Data-free Group-wise Fully Quantized Winograd Convolution Via Learnable Scales, by Shuokai Pan et al.
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scalesby Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram,…
Summary of Unic-adapter: Unified Image-instruction Adapter with Multi-modal Transformer For Image Generation, by Lunhao Duan et al.
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generationby Lunhao Duan, Shanshan Zhao, Wenjun…
Summary of Dific: Your Diffusion Model Holds the Secret to Fine-grained Clustering, by Ruohong Yang et al.
DiFiC: Your Diffusion Model Holds the Secret to Fine-Grained Clusteringby Ruohong Yang, Peng Hu, Xi…
Summary of 1.58-bit Flux, by Chenglin Yang et al.
1.58-bit FLUXby Chenglin Yang, Celong Liu, Xueqing Deng, Dongwon Kim, Xing Mei, Xiaohui Shen, Liang-Chieh…
Summary of Distilled Decoding 1: One-step Sampling Of Image Auto-regressive Models with Flow Matching, by Enshu Liu et al.
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matchingby Enshu Liu, Xuefei…
Summary of Hypernet Fields: Efficiently Training Hypernetworks Without Ground Truth by Learning Weight Trajectories, By Eric Hedlin et al.
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectoriesby Eric Hedlin, Munawar…
Summary of Layer- and Timestep-adaptive Differentiable Token Compression Ratios For Efficient Diffusion Transformers, by Haoran You et al.
Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformersby Haoran You, Connelly Barnes,…
Summary of When Worse Is Better: Navigating the Compression-generation Tradeoff in Visual Tokenization, by Vivek Ramanujan et al.
When Worse is Better: Navigating the compression-generation tradeoff in visual tokenizationby Vivek Ramanujan, Kushal Tirumala,…
Summary of Lmfusion: Adapting Pretrained Language Models For Multimodal Generation, by Weijia Shi et al.
LMFusion: Adapting Pretrained Language Models for Multimodal Generationby Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin…