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Model Compression

1674 directly classified papers

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Papers

Memory-Efficient Generative Models via Product Quantization ICCV 2025
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping ICCV 2025
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers ICCV 2025
Compression of 3D Gaussian Splatting with Optimized Feature Planes and Standard Video Codecs ICCV 2025
Knowledge Distillation for Learned Image Compression ICCV 2025
Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models ICCV 2025
LaCoOT: Layer Collapse through Optimal Transport ICCV 2025
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting ICCV 2025
Emulating Self-attention with Convolution for Efficient Image Super-Resolution ICCV 2025
Text Embedding Knows How to Quantize Text-Guided Diffusion Models ICCV 2025
A Good Teacher Adapts Their Knowledge for Distillation ICCV 2025
Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation ICCV 2025
Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models ICCV 2025
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching ICCV 2025
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers ICCV 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations ICCV 2025
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers ICCV 2025
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba ICCV 2025
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models ICCV 2025
LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables ICCV 2025
Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions ICCV 2025
ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025
MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning ICCV 2025
Powerformer: Efficient and High-Accuracy Privacy-Preserving Language Model with Homomorphic Encryption ACL 2025