190 citations · 998 across the 71 of their papers we have counts for
12 papers · 1 filter
Learnable Spectral Activations
Tamir Shor, Or Litany, Alex Bronstein
Implicit neural representations (INRs) are shaped by the spectral structure induced by their input encodings and activation functions. Existing methods improve fitting primarily by…
DyRAD: Radar Novel View Synthesis for Dynamic Driving Scenes
Merav Keidar, Tomer Borreda, Rajalakshmi Nandakumar +1
Reconstructing dynamic driving scenes from recorded sensor data supports closed-loop evaluation of autonomous driving systems by synthesizing observations beyond the original traje…
WarpHammer: Densifying Scene Warps with 3D Object Priors for Extreme View Synthesis
Michael Green, Gavriel Habib, Dvir Samuel +4
Projection-conditioned novel view synthesis (NVS) warps an explicit 3D reconstruction of the input view into the target camera and conditions a generator on the warped rendering. T…
FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows
Daniel Gilo, Sven Elflein, Ido Sobol +1
Conditional diffusion and flow models routinely fail to satisfy the very constraints that define their task. For instance, a depth-conditioned model often produces images whose re-…
VideoMDM: Towards 3D Human Motion Generation From 2D Supervision
Amir Mann, Gal Michael Harari, Merav Keidar +1
We introduce VideoMDM, a diffusion-based framework that trains 3D human motion priors directly from accurate 2D poses extracted from monocular videos, without any 3D ground truth.…
Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning
Ido Sobol, Kihyuk Sohn, Yoav Blum +4
We often aim to generate images that are both photorealistic and 3D-consistent, adhering to precise geometry, material, and viewpoint controls. Typically, this is achieved by fine-…
Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions
Etai Sella, Hao Phung, Nitay Amiel +3
Text-based 2D image editing models have recently reached an impressive level of maturity, motivating a growing body of work that heavily depends on these models to drive 3D edits.…
SceneTeract: Probing and Improving Agent-Aware Activity Reasoning in 3D Indoor Scenes
Léopold Maillard, Francis Engelmann, Tom Durand +5
Indoor 3D scenes are ultimately meant to be used: an embodied agent should be able to navigate, reach objects, and complete diverse activities. Yet whether a given scene actually s…
Retrieval-Augmented Gaussian Avatars: Improving Expression Generalization
Matan Levy, Gavriel Habib, Issar Tzachor +5
Template-free animatable head avatars can achieve high visual fidelity by learning expression-dependent facial deformation directly from a subject's capture, avoiding parametric fa…
DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer
Yuxuan Zhang, Katarína Tóthová, Zian Wang +7
Simulation is essential to the development and evaluation of autonomous robots such as self-driving vehicles. Neural reconstruction is emerging as a promising solution as it enable…
SpectralSplats: Robust Differentiable Tracking via Spectral Moment Supervision
Avigail Cohen Rimon, Amir Mann, Mirela Ben Chen +1
3D Gaussian Splatting (3DGS) enables real-time, photorealistic novel view synthesis, making it a highly attractive representation for model-based video tracking. However, leveragin…
Test-Time Training with KV Binding Is Secretly Linear Attention
Junchen Liu, Sven Elflein, Or Litany +2
Test-time training (TTT) with KV binding as sequence modeling layer is commonly interpreted as a form of online meta-learning that memorizes a key-value mapping at test time. Howev…