Media Summary: ProcessMaker: A Generalized Process Visualization Framework with Adaptive Sequence Steps on Diffusion Transformers. We present "SPAR: Single-Pass Any-Resolution ViT for Open-Vocabulary Segmentation", our Hakyeong Kim, Ruicheng Wang, Chengtang Yao, Jiaolong Yang, Min H. Kim (
Spacetools Cvpr 2026 - Detailed Analysis & Overview
ProcessMaker: A Generalized Process Visualization Framework with Adaptive Sequence Steps on Diffusion Transformers. We present "SPAR: Single-Pass Any-Resolution ViT for Open-Vocabulary Segmentation", our Hakyeong Kim, Ruicheng Wang, Chengtang Yao, Jiaolong Yang, Min H. Kim ( [CVPR 2026] Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ... GOR-IS presents a 3D Gaussian object removal framework that edits scenes in the intrinsic space, enabling physically consistent ...
Joonki Min, Chaeyun Kim, Hyungwook Choi, Yejin Kim, Kihyun Kim, Yohan Jo, Joonseok Lee. Fine-Grained Multi-Image Object ... Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ... Prune Wisely, Reconstruct Sharply: Compact 3D Gaussian Splatting via Adaptive Pruning and Difference-of-Gaussian Primitives ... PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and ... Adaptive Spatial-Temporal Window: Unlocking the Potential of Event Cameras in Heterogeneous Velocity Scenarios Zhipeng Sui, ... Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement.
AnchorSplat: Feed-Forward 3D Gaussian Splatting with 3D Geometric Priors Paper: MixerCSeg: An Efficient Mixer Architecture for Crack Segmentation via Decoupled Mamba Attention. MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality.