Introduction of Controlling Embedding Spaces With Text Conditioned Transformations Eccv 2026
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ECCV 2026: Shared LoRA Subspaces for almost Strict Continual Learning
[ECCV 2026] GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models
ISAC: Training-Free Instance-to-Semantic Attention Control for Multi-Instance Generation | ECCV 2026
Sentinel: Embodied Cooperative Spatial Reasoning and Planning | ECCV 2026
[ECCV 2026] FoundYou: A Unified Model for Personalized Segmentation and Retrieval
Trajectory Forcing: Structure-First Generation with Controllable Semantic Trajectories (ECCV 2026)
Introspective Attention Modulation for Safe Text-to-Image Generation | ECCV 2026
Comprehensive language-image pre-training for 3D medical image understanding - ECCV 2026
[eccv26] Beyond Script Family Boundaries: Towards Unified Open-Set Scene Text Recognition
Path-level Hindsight Instructions for Semantic Exploration in Vision-Language Navigation (ECCV 2026)
[ECCV 2026] Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space
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Last Updated: October 1, 2026
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Project webpage: joefioresi718.github.io/ControlEmbed_webpage/ arXiv: arxiv.org/abs/2607.22919. Controlling Embedding Spaces with Text DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models ( Adapting large pretrained models to new tasks efficiently and continually is crucial for real-world deployment but remains ... Sanghyun Jo, Wooyeol Lee, Ziseok Lee, Jonghyun Choi, Jaesik Park, Kyungsu Kim, "ISAC: Training-Free Instance-to-Semantic ... This video introduces FoundYou: A Unified Model for Personalized Segmentation and Retrieval, accepted at Project Page: mervekocabas.github.io/Trajec... Trajectory Forcing: Structure-First Generation with Controllable Semantic ... Recording of our Paper "Comprehensive language-image pre-training for 3D medical image understanding" for the
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