activity
20242026
collaborators

11 papers

cs.LG2026

Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging

Xinyu Peng, Ziyang Zheng, Wenrui Dai +5

Task-adapted compressed sensing magnetic resonance imaging (CS-MRI) is emerging to address the specific demands of downstream clinical tasks with significantly fewer k-space measur…

cs.CV2026

Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers

Xinyu Peng, Han Li, Yuyang Huang +7

Existing video frame interpolation (VFI) methods often adopt a frame-centric approach, processing videos as independent short segments (e.g., triplets), which leads to temporal inc…

cs.CV2025

Error-Propagation-Free Learned Video Compression With Dual-Domain Progressive Temporal Alignment

Han Li, Shaohui Li, Wenrui Dai +5

Existing frameworks for learned video compression suffer from a dilemma between inaccurate temporal alignment and error propagation for motion estimation and compensation (ME/MC).…

cs.CV2025

3DGabSplat: 3D Gabor Splatting for Frequency-adaptive Radiance Field Rendering

Junyu Zhou, Yuyang Huang, Wenrui Dai +5

Recent prominence in 3D Gaussian Splatting (3DGS) has enabled real-time rendering while maintaining high-fidelity novel view synthesis. However, 3DGS resorts to the Gaussian functi…

cs.CV2025

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models

Yuchen Liu, Yaoming Wang, Bowen Shi +5

Vision encoders serve as the cornerstone of multimodal understanding. Single-encoder architectures like CLIP exhibit inherent constraints in generalizing across diverse multimodal…

cs.CV2025

Noise Conditional Variational Score Distillation

Xinyu Peng, Ziyang Zheng, Yaoming Wang +6

We propose Noise Conditional Variational Score Distillation (NCVSD), a novel method for distilling pretrained diffusion models into generative denoisers. We achieve this by reveali…